Triple
T14150098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tindouf |
E350655
|
entity |
| Predicate | airportIATAcode |
P418
|
FINISHED |
| Object |
TIN
TIN is the IATA airport code for Tindouf Airport, serving the town of Tindouf in southwestern Algeria.
|
E1081768
|
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: TIN | Statement: [Tindouf, airportIATAcode, TIN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TIN Context triple: [Tindouf, airportIATAcode, TIN]
-
A.
TN-1
TN-1 is the standard postal-style abbreviation used to refer to Tennessee’s 1st congressional district in the U.S. House of Representatives.
-
B.
TIB
TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
-
C.
TILA
TILA is a U.S. federal law that requires lenders to clearly disclose key terms and costs of consumer credit to promote informed borrowing and protect consumers from unfair lending practices.
-
D.
Tinn
Tinn is a mountainous municipality in Vestfold og Telemark county, Norway, known for the industrial town of Rjukan and its role in World War II heavy water sabotage.
-
E.
TN
TN is a UK postcode area covering Tunbridge Wells and surrounding parts of Kent and East Sussex.
- 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: TIN Triple: [Tindouf, airportIATAcode, TIN]
Generated description
TIN is the IATA airport code for Tindouf Airport, serving the town of Tindouf in southwestern Algeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TIN Target entity description: TIN is the IATA airport code for Tindouf Airport, serving the town of Tindouf in southwestern Algeria.
-
A.
TN-1
TN-1 is the standard postal-style abbreviation used to refer to Tennessee’s 1st congressional district in the U.S. House of Representatives.
-
B.
TIB
TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
-
C.
TILA
TILA is a U.S. federal law that requires lenders to clearly disclose key terms and costs of consumer credit to promote informed borrowing and protect consumers from unfair lending practices.
-
D.
Tinn
Tinn is a mountainous municipality in Vestfold og Telemark county, Norway, known for the industrial town of Rjukan and its role in World War II heavy water sabotage.
-
E.
TN
TN is a UK postcode area covering Tunbridge Wells and surrounding parts of Kent and East Sussex.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6124e23481909e5132a40a1d8624 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf205c788190920b5055f9fe63a8 |
completed | May 7, 2026, 6:51 p.m. |
| NEDg | Description generation | batch_69fce266b2a08190998f04913064e43f |
completed | May 7, 2026, 7:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce2cd8cb481908e3e5a421e732948 |
completed | May 7, 2026, 7:06 p.m. |
Created at: April 10, 2026, 12:56 a.m.