Triple

T34814340
Position Surface form Disambiguated ID Type / Status
Subject Golden Age Nursing Home fire E1003586 entity
Predicate placeOfOccurrence P165186 FINISHED
Object Golden Age Nursing Home
Golden Age Nursing Home is a long-term care facility best known as the site of the deadly Golden Age Nursing Home fire.
E2113681 NE FINISHED

How this triple was built (3 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: Golden Age Nursing Home | Statement: [Golden Age Nursing Home fire, placeOfOccurrence, Golden Age Nursing Home]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Golden Age Nursing Home
Triple: [Golden Age Nursing Home fire, placeOfOccurrence, Golden Age Nursing Home]
Generated description
Golden Age Nursing Home is a long-term care facility best known as the site of the deadly Golden Age Nursing Home fire.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: placeOfOccurrence
Context triple: [Golden Age Nursing Home fire, placeOfOccurrence, Golden Age Nursing Home]
  • A. placeOfSetting
    Indicates the location or environment where an event, scene, or situation takes place.
  • B. tookPlaceAtLocation chosen
    Indicates that an event or action occurred at a specific location.
  • C. placeOfShooting
    Indicates the location where a shooting event took place.
  • D. takesPlace
    Indicates that an event or action occurs or is situated at a particular time, place, or context.
  • E. capturedPlace
    Indicates that an agent took control of or seized a specific place, typically through force or strategic action.
  • F. None of above.

Provenance (6 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_69f76db600b88190989abdf08fce3b27 completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fd509e6bc08190b263923c2f40fea3 completed May 8, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a376fb5819c8190999fac08e77483de completed June 21, 2026, 4:59 a.m.
NEDg Description generation batch_6a3770687b8c8190b271515f54eed3b8 completed June 21, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_6a37719691ac8190bc3ad20af00b1cf2 completed June 21, 2026, 5:07 a.m.
PD Predicate disambiguation batch_69fd4fd1a58881909d4b84de1b24e380 completed May 8, 2026, 2:52 a.m.
Created at: May 3, 2026, 3:59 p.m.