Triple

T21170751
Position Surface form Disambiguated ID Type / Status
Subject Highway Capacity Manual E521683 entity
Predicate edition P4629 FINISHED
Object HCM 2000
HCM 2000 is a landmark edition of the Highway Capacity Manual that updated and standardized methods for analyzing and designing the performance of transportation facilities in the early 21st century.
E1470359 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: HCM 2000 | Statement: [Highway Capacity Manual, edition, HCM 2000]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HCM 2000
Context triple: [Highway Capacity Manual, edition, HCM 2000]
  • A. HCMF
    HCMF is the ICAO airport code for Bosaso Airport in Bosaso, Somalia.
  • B. HCMW
    HCMW is the ICAO airport code for Garowe Airport in Puntland, Somalia.
  • C. HCMG
    HCMG is the ICAO airport code assigned to Galkayo Airport in Somalia.
  • D. HCM
    HCM is the commonly used abbreviation for the High Court of Manipur, the highest judicial authority in the Indian state of Manipur.
  • E. HC ’05
    HC ’05 is a professional ice hockey club based in Banská Bystrica, Slovakia.
  • 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: HCM 2000
Triple: [Highway Capacity Manual, edition, HCM 2000]
Generated description
HCM 2000 is a landmark edition of the Highway Capacity Manual that updated and standardized methods for analyzing and designing the performance of transportation facilities in the early 21st century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HCM 2000
Target entity description: HCM 2000 is a landmark edition of the Highway Capacity Manual that updated and standardized methods for analyzing and designing the performance of transportation facilities in the early 21st century.
  • A. HCMF
    HCMF is the ICAO airport code for Bosaso Airport in Bosaso, Somalia.
  • B. HCMW
    HCMW is the ICAO airport code for Garowe Airport in Puntland, Somalia.
  • C. HCMG
    HCMG is the ICAO airport code assigned to Galkayo Airport in Somalia.
  • D. HCM
    HCM is the commonly used abbreviation for the High Court of Manipur, the highest judicial authority in the Indian state of Manipur.
  • E. HC ’05
    HC ’05 is a professional ice hockey club based in Banská Bystrica, Slovakia.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72712893081908e394ccc7e0cbb53 completed April 21, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097573a08481909695019432940d39 completed May 17, 2026, 7:59 a.m.
NEDg Description generation batch_6a09764338fc8190be908a6fa9457d18 completed May 17, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0978016f188190b8e2d2c7b1b01977 completed May 17, 2026, 8:10 a.m.
Created at: April 16, 2026, 3 p.m.