Triple

T21170753
Position Surface form Disambiguated ID Type / Status
Subject Highway Capacity Manual E521683 entity
Predicate edition P4629 FINISHED
Object HCM 6th Edition
HCM 6th Edition is the 2016 update of the Highway Capacity Manual that provides contemporary methodologies and guidance for analyzing the capacity, quality of service, and performance of transportation facilities.
 E1470361 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 6th Edition | Statement: [Highway Capacity Manual, edition, HCM 6th Edition]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HCM 6th Edition
Context triple: [Highway Capacity Manual, edition, HCM 6th Edition]
  • A. HCMG
    HCMG is the ICAO airport code assigned to Galkayo Airport in Somalia.
  • B. HCMF
    HCMF is the ICAO airport code for Bosaso Airport in Bosaso, Somalia.
  • C. HCMW
    HCMW is the ICAO airport code for Garowe Airport in Puntland, 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. HLCM
    HLCM is the High-level Committee on Management, a senior coordination body within the United Nations system that focuses on management and administrative issues across UN organizations.
  • 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 6th Edition
Triple: [Highway Capacity Manual, edition, HCM 6th Edition]
Generated description
HCM 6th Edition is the 2016 update of the Highway Capacity Manual that provides contemporary methodologies and guidance for analyzing the capacity, quality of service, and performance of transportation facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HCM 6th Edition
Target entity description: HCM 6th Edition is the 2016 update of the Highway Capacity Manual that provides contemporary methodologies and guidance for analyzing the capacity, quality of service, and performance of transportation facilities.
  • A. HCMG
    HCMG is the ICAO airport code assigned to Galkayo Airport in Somalia.
  • B. HCMF
    HCMF is the ICAO airport code for Bosaso Airport in Bosaso, Somalia.
  • C. HCMW
    HCMW is the ICAO airport code for Garowe Airport in Puntland, 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. HLCM
    HLCM is the High-level Committee on Management, a senior coordination body within the United Nations system that focuses on management and administrative issues across UN organizations.
  • 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.