Triple

T7492907
Position Surface form Disambiguated ID Type / Status
Subject Tabora Airport E177050 entity
Predicate IATAcode P418 FINISHED
Object TBO
TBO is the IATA airport code for Tabora Airport, a regional airport serving the town of Tabora in Tanzania.
 E667769 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: TBO | Statement: [Tabora Airport, IATAcode, TBO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TBO
Context triple: [Tabora Airport, IATAcode, TBO]
  • A. TTO
    TTO is the FIFA country code representing the Trinidad and Tobago national football team in international competitions.
  • B. TTO
    TTO is a DARPA office focused on developing and demonstrating high-risk, high-payoff advanced military technologies and systems.
  • C. TOB
    TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
  • D. BoB
    BoB is the central bank of Botswana, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
  • E. TBU
    TBU is the vehicle registration code assigned to cars registered in the Busko-Zdrój area of Poland.
  • 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: TBO
Triple: [Tabora Airport, IATAcode, TBO]
Generated description
TBO is the IATA airport code for Tabora Airport, a regional airport serving the town of Tabora in Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TBO
Target entity description: TBO is the IATA airport code for Tabora Airport, a regional airport serving the town of Tabora in Tanzania.
  • A. TTO
    TTO is the FIFA country code representing the Trinidad and Tobago national football team in international competitions.
  • B. TTO
    TTO is a DARPA office focused on developing and demonstrating high-risk, high-payoff advanced military technologies and systems.
  • C. TOB
    TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
  • D. BoB
    BoB is the central bank of Botswana, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
  • E. TBU
    TBU is the vehicle registration code assigned to cars registered in the Busko-Zdrój area of Poland.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5784c908190b701959daf082625 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c7c60b8819090f2c4b16332c557 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83e50fac08190bdcceef0c5f55244 completed March 28, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69c83ebff75c81908313e6df6f76d3f0 completed March 28, 2026, 8:49 p.m.
Created at: March 27, 2026, 3:43 p.m.