Triple
T11851990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makilala |
E281929
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Apo |
E100451
|
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 Apo | Statement: [Makilala, near, Mount Apo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Apo Context triple: [Makilala, near, Mount Apo]
-
A.
Mount Apo
chosen
Mount Apo is the highest peak in the Philippines, a potentially active stratovolcano and a prominent natural landmark on the island of Mindanao.
-
B.
Mount Samat
Mount Samat is a historic mountain in Bataan, Philippines, known as a World War II memorial site commemorating the Battle of Bataan.
-
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 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.
-
E.
Osmeña Peak
Osmeña Peak is a popular mountain and hiking destination in Cebu, Philippines, known for its jagged, picturesque peaks and panoramic views of the surrounding landscape.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a696ee548190800d56c64c339b10 |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f167c9d4e88190bfaadada0450e639 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 8, 2026, 9:43 p.m.