Triple

T2541409
Position Surface form Disambiguated ID Type / Status
Subject Am Law 200 E57791 entity
Predicate numberOfRankedEntities P39431 FINISHED
Object 200 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: 200 | Statement: [Am Law 200, numberOfRankedEntities, 200]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfRankedEntities
Context triple: [Am Law 200, numberOfRankedEntities, 200]
  • A. numberOfRankedPeople
    Indicates the total count of people who have been assigned a rank within a given context or system.
  • B. rankedAs
    Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
  • C. depthRank
    Indicates the relative ordering of entities based on how deep or distant they are along a specified depth dimension or hierarchy.
  • D. rankedAmong
    Indicates that an entity holds a specific position or status within a defined group, list, or hierarchy of comparable entities.
  • E. rankedBy
    Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
  • F. None of above. chosen

Provenance (4 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2bc7b5481908b3664495e99f1a4 completed March 7, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69abd0c63964819092d5f578195ae8dd completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd1c7b6e48190be9a0c31069df797 completed March 7, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:47 p.m.