Triple
T13183087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dambana ng Kagitingan |
E313777
|
entity |
| Predicate | locatedIn |
P40
|
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: [Dambana ng Kagitingan, locatedIn, Mount Samat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Samat Context triple: [Dambana ng Kagitingan, locatedIn, 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 Banahaw
Mount Banahaw is an active, sacred stratovolcano in the Philippines revered by pilgrims and mystics and known for its rich biodiversity and hiking trails.
-
D.
Mount Binaiya
Mount Binaiya is the highest mountain on the Indonesian island of Seram, known for its rugged terrain and rich biodiversity.
-
E.
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.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c4a0b0081908027bf77442ff5ff |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff1581388190824a5377b64bd0ef |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 9, 2026, 9:15 p.m.