Triple

T7194859
Position Surface form Disambiguated ID Type / Status
Subject Fernando Luis Ribas Dominicci Airport E168587 entity
Predicate IATAcode P418 FINISHED
Object SIG
SIG is the IATA airport code for Fernando Luis Ribas Dominicci Airport, a regional airport serving San Juan, Puerto Rico.
 E649472 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: SIG | Statement: [Fernando Luis Ribas Dominicci Airport, IATAcode, SIG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SIG
Context triple: [Fernando Luis Ribas Dominicci Airport, IATAcode, SIG]
  • A. SIG
    SIG is an acronym commonly used by the Association for Computing Machinery to denote its specialized Special Interest Groups that focus on particular areas of computing research and practice.
  • B. SIG
    SIG is the public utility company of Geneva, Switzerland, responsible for providing services such as electricity, gas, water, and energy solutions to the region.
  • C. Sigma
    Sigma is a Greek letter commonly used in mathematics, science, and engineering to denote summation, standard deviation, and various other concepts.
  • D. Sigma
    Sigma is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its agricultural economy and small-town character.
  • E. SG
    SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
  • 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: SIG
Triple: [Fernando Luis Ribas Dominicci Airport, IATAcode, SIG]
Generated description
SIG is the IATA airport code for Fernando Luis Ribas Dominicci Airport, a regional airport serving San Juan, Puerto Rico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SIG
Target entity description: SIG is the IATA airport code for Fernando Luis Ribas Dominicci Airport, a regional airport serving San Juan, Puerto Rico.
  • A. SIG
    SIG is an acronym commonly used by the Association for Computing Machinery to denote its specialized Special Interest Groups that focus on particular areas of computing research and practice.
  • B. SIG
    SIG is the public utility company of Geneva, Switzerland, responsible for providing services such as electricity, gas, water, and energy solutions to the region.
  • C. Sigma
    Sigma is a Greek letter commonly used in mathematics, science, and engineering to denote summation, standard deviation, and various other concepts.
  • D. Sigma
    Sigma is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its agricultural economy and small-town character.
  • E. SG
    SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e9050164819081fd6a11d10f9833 completed March 27, 2026, 8:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf9b8ff48190a561035f754922e9 completed March 28, 2026, 11:46 a.m.
NEDg Description generation batch_69c7c08e0db88190ac0142980288cd72 completed March 28, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7c1576818819087ad2d847f140433 completed March 28, 2026, 11:53 a.m.
Created at: March 27, 2026, 2:51 p.m.