Triple

T13885774
Position Surface form Disambiguated ID Type / Status
Subject Una district E333838 entity
Predicate hasMajorTown P316 FINISHED
Object Amb
Amb is a town in the Una district of Himachal Pradesh, India, known as a local commercial and transportation hub.
 E1068667 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: Amb | Statement: [Una district, hasMajorTown, Amb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amb
Context triple: [Una district, hasMajorTown, Amb]
  • A. AMB
    AMB is the IATA airport code for RAAF Base Amberley, a major Royal Australian Air Force base in Queensland, Australia.
  • B. Ant
    Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
  • C. Ant
    Ant is an American hip hop producer best known as a core member of the duo Atmosphere and a key figure in the independent rap scene.
  • D. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • E. AMA
    AMA is the commonly used abbreviation for Japan’s Antimonopoly Act, the core law regulating competition and prohibiting monopolistic practices in the country.
  • 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: Amb
Triple: [Una district, hasMajorTown, Amb]
Generated description
Amb is a town in the Una district of Himachal Pradesh, India, known as a local commercial and transportation hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amb
Target entity description: Amb is a town in the Una district of Himachal Pradesh, India, known as a local commercial and transportation hub.
  • A. AMB
    AMB is the IATA airport code for RAAF Base Amberley, a major Royal Australian Air Force base in Queensland, Australia.
  • B. Ant
    Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
  • C. Ant
    Ant is an American hip hop producer best known as a core member of the duo Atmosphere and a key figure in the independent rap scene.
  • D. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • E. AMA
    AMA is the commonly used abbreviation for Japan’s Antimonopoly Act, the core law regulating competition and prohibiting monopolistic practices in the country.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a101488190bd790b28033d38b9 completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c716166c8190a6323f8c01de06a5 completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c868bdfc8190a13379363d01568d completed May 3, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69f7c9732d188190a8a7151d21e0a310 completed May 3, 2026, 10:17 p.m.
Created at: April 9, 2026, 10:15 p.m.