Triple

T4639009
Position Surface form Disambiguated ID Type / Status
Subject Region XI E101605 entity
Predicate highestPoint P210 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: [Region XI, highestPoint, Mount Apo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Apo
Context triple: [Region XI, highestPoint, 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 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. 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.
  • E. Mount Makiling
    Mount Makiling is a dormant volcanic mountain in Laguna, Philippines, known for its rich biodiversity, protected forest reserve, and prominence in local folklore and hiking tourism.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a8e0ee88190becab97d2ef1571a completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69be103799108190a905c28cdf302aba completed March 21, 2026, 3:27 a.m.
Created at: March 20, 2026, 1:13 p.m.