Triple

T271158
Position Surface form Disambiguated ID Type / Status
Subject Texas Eagle E5635 entity
Predicate name P16 FINISHED
Object Texas Eagle E5635 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: Texas Eagle | Statement: [Texas Eagle, name, Texas Eagle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Texas Eagle
Context triple: [Texas Eagle, name, Texas Eagle]
  • A. Texas Eagle chosen
    The Texas Eagle is a long-distance Amtrak passenger train route running between Chicago and San Antonio, known for traversing the central United States through states like Illinois, Missouri, Arkansas, and Texas.
  • B. Blue Eagle
    Blue Eagle was the emblematic symbol used in the United States during the New Deal era to signify businesses' compliance with National Recovery Administration codes and policies.
  • C. Baldwin the Eagle
    Baldwin the Eagle is the costumed eagle mascot who represents Boston College at its athletic events and school functions.
  • D. The Eagle
    The Eagle is a 1925 silent adventure film starring Rudolph Valentino as a dashing Russian outlaw hero.
  • E. Kestrel
    Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25db17e8c8190a6ebcadd8a0abf4d completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38f51aeac81908c6d398e650dc315 completed March 1, 2026, 12:58 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.