Triple

T15962670
Position Surface form Disambiguated ID Type / Status
Subject Société des Transports de Tunis E387099 entity
Predicate alsoKnownAs P39 FINISHED
Object STT
STT is the acronym for the Société des Transports de Tunis, the public transportation company serving the Tunis metropolitan area in Tunisia.
 E1187052 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: STT | Statement: [Société des Transports de Tunis, alsoKnownAs, STT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: STT
Context triple: [Société des Transports de Tunis, alsoKnownAs, STT]
  • A. STT
    STT is the IATA airport code for Cyril E. King Airport, the main international gateway to St. Thomas in the U.S. Virgin Islands.
  • B. STT
    STT is the stock ticker symbol for State Street Corporation, a major U.S.-based financial services and asset management company.
  • C. ST
    ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
  • D. ST
    ST is the vehicle registration code used on license plates for vehicles registered in the Steinfurt district of Germany.
  • E. ST
    ST is the reporting mark used by the Springfield Terminal Railway, a regional railroad in New England.
  • 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: STT
Triple: [Société des Transports de Tunis, alsoKnownAs, STT]
Generated description
STT is the acronym for the Société des Transports de Tunis, the public transportation company serving the Tunis metropolitan area in Tunisia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: STT
Target entity description: STT is the acronym for the Société des Transports de Tunis, the public transportation company serving the Tunis metropolitan area in Tunisia.
  • A. STT
    STT is the IATA airport code for Cyril E. King Airport, the main international gateway to St. Thomas in the U.S. Virgin Islands.
  • B. STT
    STT is the stock ticker symbol for State Street Corporation, a major U.S.-based financial services and asset management company.
  • C. ST
    ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
  • D. ST
    ST is the common abbreviation for Stade Toulousain, a leading French rugby union club based in Toulouse.
  • E. ST
    ST is the vehicle registration code used on license plates for vehicles registered in the Steinfurt district of Germany.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157013cfc819099fa83de85273710 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe827d248190adbfd41f55638ebd completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbffcbd748190a666eca28cf44ad5 completed May 9, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_69ffc09df25481908674f306b0f96f95 completed May 9, 2026, 11:17 p.m.
Created at: April 10, 2026, 4:53 a.m.