Triple

T4434318
Position Surface form Disambiguated ID Type / Status
Subject Seven Sisters colleges E95609 entity
Predicate historicalAdmissionPolicy P9816 FINISHED
Object women-only 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: women-only | Statement: [Seven Sisters colleges, historicalAdmissionPolicy, women-only]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalAdmissionPolicy
Context triple: [Seven Sisters colleges, historicalAdmissionPolicy, women-only]
  • A. admissionPolicy
    Indicates the rules or criteria governing whether and how entities are allowed to be admitted or granted access.
  • B. historicalPractice chosen
    Indicates that an action, behavior, or relationship occurred as a customary or established practice during a past historical period.
  • C. administrativeHistory
    Indicates the sequence of past administrative changes, statuses, or governing arrangements that have affected an entity over time.
  • D. hasPolicyHistory
    Indicates that an entity is associated with a record or sequence of past policies that have applied to it over time.
  • E. historicalLanguagePolicy
    Indicates a relationship where an authority’s past rules or practices governed the use, status, or regulation of a language within a society or institution.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35588e99881908fea7b71a33e2bb6 completed March 13, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69b34f6078cc8190831b89f404198cc5 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:31 p.m.