Triple

T7145127
Position Surface form Disambiguated ID Type / Status
Subject NM 502 E166542 entity
Predicate hasJunctionWith P1018 FINISHED
Object NM 30
NM 30 is a New Mexico state highway route that serves as part of the regional road network connecting communities in the state.
E645941 NE FINISHED

How this triple was built (4 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: NM 30 | Statement: [NM 502, hasJunctionWith, NM 30]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NM 30
Context triple: [NM 502, hasJunctionWith, NM 30]
  • A. NM 4
    NM 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic landscapes, small communities, and nearby national monuments.
  • B. NM 290
    NM 290 is a New Mexico state highway route that intersects with NM 4 and serves local traffic in its region.
  • C. NM-73
    NM-73 is a type of electric multiple unit rolling stock used to operate trains on Mexico City Metro Line 3.
  • D. NM 126
    NM 126 is a state highway in New Mexico that serves as a connector route in the state’s road network.
  • E. NM-02
    NM-02 is a type of electric multiple unit rolling stock used to operate services on Metro Line 3.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: NM 30
Triple: [NM 502, hasJunctionWith, NM 30]
Generated description
NM 30 is a New Mexico state highway route that serves as part of the regional road network connecting communities in the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NM 30
Target entity description: NM 30 is a New Mexico state highway route that serves as part of the regional road network connecting communities in the state.
  • A. NM 4
    NM 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic landscapes, small communities, and nearby national monuments.
  • B. NM 290
    NM 290 is a New Mexico state highway route that intersects with NM 4 and serves local traffic in its region.
  • C. NM-73
    NM-73 is a type of electric multiple unit rolling stock used to operate trains on Mexico City Metro Line 3.
  • D. NM 126
    NM 126 is a state highway in New Mexico that serves as a connector route in the state’s road network.
  • E. NM-02
    NM-02 is a type of electric multiple unit rolling stock used to operate services on Metro Line 3.
  • F. None of above. chosen

Provenance (5 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d1652c8190973edceab55f04bc completed March 27, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ada12a848190b6e98e0b1a258c17 completed March 28, 2026, 10:29 a.m.
NEDg Description generation batch_69c7aeb1c59c8190b02fcb731003ad31 completed March 28, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_69c7af2ad8a081909185cfd3a3d4e4d0 completed March 28, 2026, 10:36 a.m.
Created at: March 27, 2026, 2:46 p.m.