Triple

T18199238
Position Surface form Disambiguated ID Type / Status
Subject Arsenal Mall E435738 entity
Predicate namedAfter P63 FINISHED
Object Watertown Arsenal NE NERFINISHED

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: Watertown Arsenal | Statement: [Arsenal Mall, namedAfter, Watertown Arsenal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watertown Arsenal
Context triple: [Arsenal Mall, namedAfter, Watertown Arsenal]
  • A. Watertown Arsenal chosen
    Watertown Arsenal is a historic former U.S. Army ordnance and research facility in Watertown, Massachusetts, that played a key role in American military manufacturing and technology development.
  • B. Picatinny Arsenal
    Picatinny Arsenal is a U.S. Army research, development, and manufacturing facility in New Jersey specializing in advanced weaponry and munitions systems.
  • C. Fisher Tank Arsenal
    Fisher Tank Arsenal was an American defense manufacturing facility known for producing armored vehicles such as the M46 Patton tank.
  • D. Rock Island Arsenal
    Rock Island Arsenal is a major U.S. Army facility and manufacturing center known for producing military weapons, equipment, and ordnance.
  • E. Winchester Armory
    Winchester Armory is a military installation located near Winchester, Virginia, that supports local National Guard and defense-related operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d545f4819090285d1446bd3c27 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.