Triple
T9483370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Santos |
E228700
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Dadiangas
Dadiangas is the former name of General Santos, a major city in the southern Philippines known for its tuna fishing industry.
|
E802116
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dadiangas | Statement: [General Santos, formerName, Dadiangas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dadiangas Context triple: [General Santos, formerName, Dadiangas]
-
A.
Dinalungan
Dinalungan is a coastal municipality in the province of Aurora in the Philippines, known for its rural landscapes and Pacific shoreline.
-
B.
Pangarang
Pangarang is an alternative name for the Bangerang, an Aboriginal Australian people traditionally associated with regions of northern Victoria and southern New South Wales.
-
C.
Talokan
Talokan is a fictional underwater Mesoamerican-inspired kingdom ruled by Namor in the Marvel Cinematic Universe film "Black Panther: Wakanda Forever."
-
D.
Mahinog
Mahinog is a coastal municipality on Camiguin Island in the Philippines known for its rural communities and access to nearby islets and marine attractions.
-
E.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dadiangas Triple: [General Santos, formerName, Dadiangas]
Generated description
Dadiangas is the former name of General Santos, a major city in the southern Philippines known for its tuna fishing industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dadiangas Target entity description: Dadiangas is the former name of General Santos, a major city in the southern Philippines known for its tuna fishing industry.
-
A.
Dinalungan
Dinalungan is a coastal municipality in the province of Aurora in the Philippines, known for its rural landscapes and Pacific shoreline.
-
B.
Pangarang
Pangarang is an alternative name for the Bangerang, an Aboriginal Australian people traditionally associated with regions of northern Victoria and southern New South Wales.
-
C.
Talokan
Talokan is a fictional underwater Mesoamerican-inspired kingdom ruled by Namor in the Marvel Cinematic Universe film "Black Panther: Wakanda Forever."
-
D.
Mahinog
Mahinog is a coastal municipality on Camiguin Island in the Philippines known for its rural communities and access to nearby islets and marine attractions.
-
E.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd804c859081908c261ad16b501f0d |
completed | April 1, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d0bf0c08190ab96db3eb522c91e |
completed | April 4, 2026, 3:23 p.m. |
| NEDg | Description generation | batch_69d12df73e3c819095f69e2b61989bb1 |
completed | April 4, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12e6ed8988190bd1f4b6881db5e63 |
completed | April 4, 2026, 3:29 p.m. |
Created at: March 30, 2026, 7:55 p.m.