Triple

T9567406
Position Surface form Disambiguated ID Type / Status
Subject Fall of Corregidor E230821 entity
Predicate hasFortifications P22477 FINISHED
Object Fort Mills E74339 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: Fort Mills | Statement: [Fall of Corregidor, hasFortifications, Fort Mills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Mills
Context triple: [Fall of Corregidor, hasFortifications, Fort Mills]
  • A. Fort Mills chosen
    Fort Mills is the former U.S. Army coastal defense fortification that occupied most of Corregidor Island in the Philippines and played a key role in World War II’s Pacific theater.
  • B. Union Mills
    Union Mills is a small village on the Isle of Man, situated just inland from the island’s capital, Douglas.
  • C. Mauldin
    Mauldin is the surname of American music producer, songwriter, and record executive Jermaine Dupri.
  • D. Mauldin
    Mauldin is a city in South Carolina, United States, known as a suburban community within the Greenville metropolitan area.
  • E. High Point
    High Point is a prominent summit in the Bull Run Mountains, known as one of the range’s higher elevations and a local hiking destination.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996df4f08190b19bbaefb10a9789 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152b09c808190aff32419f2cbb15f completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:04 p.m.