Triple
T14502342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albay |
E340173
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Libon
Libon is a municipality in the province of Albay in the Bicol Region of the Philippines, known for its agricultural economy and rural communities.
|
E1106992
|
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: Libon | Statement: [Albay, hasMunicipality, Libon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Libon Context triple: [Albay, hasMunicipality, Libon]
-
A.
Balabac
Balabac is a remote island municipality in the southernmost part of the Philippine province of Palawan, known for its rich marine biodiversity and pristine beaches.
-
B.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
C.
Marawila
Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
-
D.
Malabanias
Malabanias is a barangay (village-level administrative district) within Angeles City in Pampanga, Philippines, known for its mixed residential, commercial, and entertainment areas.
-
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: Libon Triple: [Albay, hasMunicipality, Libon]
Generated description
Libon is a municipality in the province of Albay in the Bicol Region of the Philippines, known for its agricultural economy and rural communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Libon Target entity description: Libon is a municipality in the province of Albay in the Bicol Region of the Philippines, known for its agricultural economy and rural communities.
-
A.
Balabac
Balabac is a remote island municipality in the southernmost part of the Philippine province of Palawan, known for its rich marine biodiversity and pristine beaches.
-
B.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
C.
Marawila
Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
-
D.
Malabanias
Malabanias is a barangay (village-level administrative district) within Angeles City in Pampanga, Philippines, known for its mixed residential, commercial, and entertainment areas.
-
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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aac9e4081908bb361c0bff211c1 |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8b8566cc81908c5cecefb5d71e63 |
completed | May 8, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8e8c320c8190b08af08226e50622 |
completed | May 8, 2026, 7:19 a.m. |
Created at: April 10, 2026, 1:21 a.m.