Triple

T37979846
Position Surface form Disambiguated ID Type / Status
Subject Richard Allen Homes E947521 entity
Predicate hasLaterPolicyContext P49972 FINISHED
Object HOPE VI-style redevelopment initiatives LITERAL 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: HOPE VI-style redevelopment initiatives | Statement: [Richard Allen Homes, hasLaterPolicyContext, HOPE VI-style redevelopment initiatives]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLaterPolicyContext
Context triple: [Richard Allen Homes, hasLaterPolicyContext, HOPE VI-style redevelopment initiatives]
  • A. laterPolicy chosen
    Indicates that one policy occurs or becomes effective after another policy in time.
  • B. hasLanguagePolicyContext
    Indicates that there is an associated language-related policy, rule, or regulatory context governing how language is used or managed in relation to the subject.
  • C. hasLaterSetting
    Indicates that one event, scene, or setting occurs at a later point in time than another.
  • D. hasLaterProponent
    Indicates that an idea, theory, or position was subsequently supported or advocated by a later individual or group.
  • E. hasPolicyAspect
    Indicates that something includes, reflects, or is related to a particular policy-related dimension, feature, or consideration.
  • F. None of above.

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_69f76ef8a1d08190a741bbbc5970e3b3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a0004582bb08190b8d0b88251e8d333 completed May 10, 2026, 4:06 a.m.
PD Predicate disambiguation batch_6a0003e3e5588190933beea5fb28f150 completed May 10, 2026, 4:04 a.m.
Created at: May 3, 2026, 4:20 p.m.