Triple

T23147805
Position Surface form Disambiguated ID Type / Status
Subject Foreign Secretary of India E578238 entity
Predicate hasAbbreviation P43 FINISHED
Object FS
FS is the commonly used abbreviation for the Foreign Secretary of India, the top civil servant responsible for overseeing the country’s foreign affairs administration.
 E1575632 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: FS | Statement: [Foreign Secretary of India, hasAbbreviation, FS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FS
Context triple: [Foreign Secretary of India, hasAbbreviation, FS]
  • A. FS
    FS is the vehicle registration code used on license plates for vehicles registered in the district of Freising in Bavaria, Germany.
  • B. FSV
    FSV is the commonly used abbreviation for FSV Zwickau, a German football club based in Zwickau, Saxony.
  • C. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • D. SFS
    SFS is a spatial feature standard that defines how geographic features and their properties are modeled and accessed in geospatial information systems.
  • E. SFS
    SFS is the commonly used abbreviation for the San Francisco Symphony, a major American orchestra based in San Francisco, California.
  • 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: FS
Triple: [Foreign Secretary of India, hasAbbreviation, FS]
Generated description
FS is the commonly used abbreviation for the Foreign Secretary of India, the top civil servant responsible for overseeing the country’s foreign affairs administration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FS
Target entity description: FS is the commonly used abbreviation for the Foreign Secretary of India, the top civil servant responsible for overseeing the country’s foreign affairs administration.
  • A. FS
    FS is the vehicle registration code used on license plates for vehicles registered in the district of Freising in Bavaria, Germany.
  • B. FSV
    FSV is the commonly used abbreviation for FSV Zwickau, a German football club based in Zwickau, Saxony.
  • C. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • D. SFS
    SFS is a spatial feature standard that defines how geographic features and their properties are modeled and accessed in geospatial information systems.
  • E. SFS
    SFS is the commonly used abbreviation for the San Francisco Symphony, a major American orchestra based in San Francisco, California.
  • 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ecf9e9881908991ede784158f1e completed April 29, 2026, 4:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30963b3c8190a4ffb48b03fbf77a completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c332f5ef08190ab7f6536eb719e04 completed May 19, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0c374ded1c8190b1d5c7a3ab521cf9 completed May 19, 2026, 10:11 a.m.
Created at: April 17, 2026, 4:01 p.m.