Triple
T2979508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Bataan |
E80476
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Samal
Samal is a municipality in the Philippine province of Bataan known for its agricultural economy and local cottage industries.
|
E317272
|
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: Samal | Statement: [Province of Bataan, contains, Samal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samal Context triple: [Province of Bataan, contains, Samal]
-
A.
Alor
Alor is an island in eastern Indonesia known for its rugged terrain, rich marine biodiversity, and traditional indigenous cultures.
-
B.
Dauin
Dauin is a coastal municipality in Negros Oriental, Philippines, known for its rich marine biodiversity and popular dive sites, including access to the renowned Apo Island.
-
C.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
D.
Malax
Malax is a small coastal municipality in western Finland known for its Swedish-speaking majority and rural Ostrobothnian landscapes.
-
E.
Mokena
Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
- 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: Samal Triple: [Province of Bataan, contains, Samal]
Generated description
Samal is a municipality in the Philippine province of Bataan known for its agricultural economy and local cottage industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samal Target entity description: Samal is a municipality in the Philippine province of Bataan known for its agricultural economy and local cottage industries.
-
A.
Alor
Alor is an island in eastern Indonesia known for its rugged terrain, rich marine biodiversity, and traditional indigenous cultures.
-
B.
Dauin
Dauin is a coastal municipality in Negros Oriental, Philippines, known for its rich marine biodiversity and popular dive sites, including access to the renowned Apo Island.
-
C.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
D.
Malax
Malax is a small coastal municipality in western Finland known for its Swedish-speaking majority and rural Ostrobothnian landscapes.
-
E.
Mokena
Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999cca40819082e2d6d10bdb7872 |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108ef607c8190865b079beb1b6da5 |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b10bc71c708190b1e620d41278c3e0 |
completed | March 11, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10c43a7c48190b63a7b3f0f180d44 |
completed | March 11, 2026, 6:31 a.m. |
Created at: March 8, 2026, 2:58 p.m.