Triple
T2264628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manila Bay |
E50116
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Balanga
Balanga is a coastal city in the province of Bataan in the Philippines, situated along the shores of Manila Bay.
|
E254766
|
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: Balanga | Statement: [Manila Bay, borders, Balanga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balanga Context triple: [Manila Bay, borders, Balanga]
-
A.
Aguiguan
Aguiguan is a small, uninhabited island in the Northern Mariana Islands known for its rugged terrain and seabird colonies.
-
B.
Rinconada Bikol
Rinconada Bikol is a major inland variety of the Bikol language spoken primarily in the Rinconada district of Camarines Sur in the Bicol Region of the Philippines.
-
C.
Agulo
Agulo is a small, picturesque coastal village and municipality on the island of La Gomera in Spain’s Canary Islands, known for its traditional architecture and dramatic cliffside scenery.
-
D.
Bislig
Bislig is a coastal city in the Caraga region of Mindanao in the Philippines, known for its proximity to the Tinuy-an Falls and its history as a former major paper-mill town.
-
E.
Cabanga
Cabanga is a coastal neighborhood and marina district in Recife, Brazil, known for its nautical activities and proximity to the city’s central area.
- 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: Balanga Triple: [Manila Bay, borders, Balanga]
Generated description
Balanga is a coastal city in the province of Bataan in the Philippines, situated along the shores of Manila Bay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balanga Target entity description: Balanga is a coastal city in the province of Bataan in the Philippines, situated along the shores of Manila Bay.
-
A.
Aguiguan
Aguiguan is a small, uninhabited island in the Northern Mariana Islands known for its rugged terrain and seabird colonies.
-
B.
Rinconada Bikol
Rinconada Bikol is a major inland variety of the Bikol language spoken primarily in the Rinconada district of Camarines Sur in the Bicol Region of the Philippines.
-
C.
Agulo
Agulo is a small, picturesque coastal village and municipality on the island of La Gomera in Spain’s Canary Islands, known for its traditional architecture and dramatic cliffside scenery.
-
D.
Bislig
Bislig is a coastal city in the Caraga region of Mindanao in the Philippines, known for its proximity to the Tinuy-an Falls and its history as a former major paper-mill town.
-
E.
Cabanga
Cabanga is a coastal neighborhood and marina district in Recife, Brazil, known for its nautical activities and proximity to the city’s central area.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18ed0708190aa3156e9d35120c3 |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae894a20e0819097f08959f7a062ef |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae89e2efd48190a2f0a4702dcbc081 |
completed | March 9, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8a7726dc8190a18f7f1e1609253a |
completed | March 9, 2026, 8:53 a.m. |
Created at: March 4, 2026, 7:48 p.m.