Triple

T18695481
Position Surface form Disambiguated ID Type / Status
Subject Taurus molecular cloud complex E457104 entity
Predicate hasSubregion P285 FINISHED
Object TMC-2
TMC-2 is a dense, star-forming molecular cloud core within the Taurus molecular cloud complex, notable for its rich inventory of interstellar molecules.
 E1338571 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: TMC-2 | Statement: [Taurus molecular cloud complex, hasSubregion, TMC-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TMC-2
Context triple: [Taurus molecular cloud complex, hasSubregion, TMC-2]
  • A. TMC 2
    TMC 2 is a high-resolution terrain mapping camera used on Indian lunar missions to capture detailed three-dimensional images of the Moon’s surface.
  • B. TMB 3000 series
    The TMB 3000 series is a class of electric multiple unit trains used on the Barcelona Metro system for passenger service.
  • C. TMB 2000 series
    The TMB 2000 series is a class of electric multiple unit trains used on the Barcelona Metro, designed for high-capacity urban rapid transit service.
  • D. T-MEC
    T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
  • E. TMB 7000 series
    The TMB 7000 series is a class of modern electric multiple unit trains used on the Barcelona Metro network.
  • 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: TMC-2
Triple: [Taurus molecular cloud complex, hasSubregion, TMC-2]
Generated description
TMC-2 is a dense, star-forming molecular cloud core within the Taurus molecular cloud complex, notable for its rich inventory of interstellar molecules.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TMC-2
Target entity description: TMC-2 is a dense, star-forming molecular cloud core within the Taurus molecular cloud complex, notable for its rich inventory of interstellar molecules.
  • A. TMC 2
    TMC 2 is a high-resolution terrain mapping camera used on Indian lunar missions to capture detailed three-dimensional images of the Moon’s surface.
  • B. TMB 3000 series
    The TMB 3000 series is a class of electric multiple unit trains used on the Barcelona Metro system for passenger service.
  • C. TMB 2000 series
    The TMB 2000 series is a class of electric multiple unit trains used on the Barcelona Metro, designed for high-capacity urban rapid transit service.
  • D. T-MEC
    T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
  • E. TMB 7000 series
    The TMB 7000 series is a class of modern electric multiple unit trains used on the Barcelona Metro network.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e775408190996b4c613b83f185 completed April 19, 2026, 11:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b31f118819091ee281da1b67f37 completed May 14, 2026, 1:53 a.m.
NEDg Description generation batch_6a052c40cd04819096757952a275ddcf completed May 14, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_6a052d1122ac819081c664d90d784a82 completed May 14, 2026, 2:01 a.m.
Created at: April 10, 2026, 11:49 a.m.