Triple

T7063201
Position Surface form Disambiguated ID Type / Status
Subject NM 4 E164272 entity
Predicate hasJunctionWith P1018 FINISHED
Object NM 290
NM 290 is a New Mexico state highway route that intersects with NM 4 and serves local traffic in its region.
 E638473 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 290 | Statement: [NM 4, hasJunctionWith, NM 290]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NM 290
Context triple: [NM 4, hasJunctionWith, NM 290]
  • 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 502
    NM 502 is a state highway in New Mexico that connects the city of Los Alamos with U.S. Route 84/285 near Pojoaque, serving as a key access route to the Los Alamos area.
  • C. NM-02
    NM-02 is a type of electric multiple unit rolling stock used to operate services on Metro Line 3.
  • D. NM-79
    NM-79 is a model of electric multiple unit rolling stock used to operate services on Mexico City Metro Line 3.
  • E. NM-73
    NM-73 is a type of electric multiple unit rolling stock used to operate trains on Mexico City 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 290
Triple: [NM 4, hasJunctionWith, NM 290]
Generated description
NM 290 is a New Mexico state highway route that intersects with NM 4 and serves local traffic in its region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NM 290
Target entity description: NM 290 is a New Mexico state highway route that intersects with NM 4 and serves local traffic in its region.
  • 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 502
    NM 502 is a state highway in New Mexico that connects the city of Los Alamos with U.S. Route 84/285 near Pojoaque, serving as a key access route to the Los Alamos area.
  • C. NM-02
    NM-02 is a type of electric multiple unit rolling stock used to operate services on Metro Line 3.
  • D. NM-79
    NM-79 is a model of electric multiple unit rolling stock used to operate services on Mexico City Metro Line 3.
  • E. NM-73
    NM-73 is a type of electric multiple unit rolling stock used to operate trains on Mexico City 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e45cf7488190a7ff15665e283c37 completed March 27, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c788ba7af88190aeaf3205255af8ad completed March 28, 2026, 7:52 a.m.
NEDg Description generation batch_69c7892a387c8190856eac695fbcfb02 completed March 28, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69c789bc4fa081908cf40ec8ff189b90 completed March 28, 2026, 7:56 a.m.
Created at: March 27, 2026, 2:38 p.m.