Triple
T2979504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Bataan |
E80476
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mount Samat |
E313775
|
NE FINISHED |
How this triple was built (2 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: Mount Samat | Statement: [Province of Bataan, contains, Mount Samat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Samat Context triple: [Province of Bataan, contains, Mount Samat]
-
A.
Mount Samat
chosen
Mount Samat is a historic mountain in Bataan, Philippines, known as a World War II memorial site commemorating the Battle of Bataan.
-
B.
Mount Apo
Mount Apo is the highest peak in the Philippines, a potentially active stratovolcano and a prominent natural landmark on the island of Mindanao.
-
C.
Mount Pulag
Mount Pulag is a prominent stratovolcano in the Cordillera Central of northern Philippines, famed for its high-altitude grasslands, rich biodiversity, and “sea of clouds” views popular with hikers.
-
D.
Mount Papandayan
Mount Papandayan is an active stratovolcano in West Java, Indonesia, known for its steaming fumaroles, sulfur craters, and popular hiking trails.
-
E.
Mount Tapulao
Mount Tapulao is a prominent mountain in the Philippines known for its cool climate, pine forests, and challenging hiking trails.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b12e2c498881909dc0349b56db5c87 |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:58 p.m.