Triple

T36598198
Position Surface form Disambiguated ID Type / Status
Subject MapInfo Corporation E902853 entity
Predicate locationBasedOn P119780 FINISHED
Object Rensselaer Polytechnic Institute ecosystem 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: Rensselaer Polytechnic Institute ecosystem | Statement: [MapInfo Corporation, locationBasedOn, Rensselaer Polytechnic Institute ecosystem]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locationBasedOn
Context triple: [MapInfo Corporation, locationBasedOn, Rensselaer Polytechnic Institute ecosystem]
  • A. locationWhenGiven
    Indicates the place where an entity is located at the time it is given or transferred to another entity.
  • B. locationSince
    Indicates that an entity has been located at a particular place continuously since a specified point in time.
  • C. basedInSetting chosen
    Indicates that an entity is situated, located, or primarily operates within a particular setting or environment.
  • D. residenceBasedOn
    Indicates that an entity’s place of residence is determined or assigned based on a specified criterion, condition, or underlying factor.
  • E. likelyLocatedIn
    Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
  • 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_69f76e66b7b88190848f7a3e1188915f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a0bf4b88190bdcfae9a14b51f0a completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:11 p.m.