Triple

T20335954
Position Surface form Disambiguated ID Type / Status
Subject NYPD 109th Precinct E492610 entity
Predicate jurisdiction P82 FINISHED
Object Malba E1015914 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: Malba | Statement: [NYPD 109th Precinct, jurisdiction, Malba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malba
Context triple: [NYPD 109th Precinct, jurisdiction, Malba]
  • A. Malba chosen
    Malba is an affluent residential neighborhood in the northeastern part of Queens, New York City, known for its large waterfront homes and quiet, suburban character.
  • B. Marol
    Marol is a prominent residential and commercial locality in Mumbai, India, situated within the larger Andheri suburb and known for its connectivity and mixed urban character.
  • C. Murlo
    Murlo is a small historic municipality in Tuscany, Italy, known for its Etruscan archaeological heritage and picturesque rural landscape.
  • D. Morong
    Morong is a coastal municipality in the Philippine province of Rizal known for its historic church and proximity to Metro Manila.
  • E. Morong
    Morong is a coastal municipality in the Philippine province of Bataan known for its beaches, eco-tourism sites, and the Pawikan (sea turtle) Conservation Center.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677eb4d5881908ea5ec5a1dd7eafa completed April 20, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0869587df48190996936ccf1b87f1c completed May 16, 2026, 12:55 p.m.
Created at: April 16, 2026, 11:23 a.m.