Triple
T18426036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tivat |
E450141
|
entity |
| Predicate | airportIATAcode |
P418
|
FINISHED |
| Object |
TIV
TIV is the IATA airport code for Tivat Airport, a regional international airport serving the coastal town of Tivat in Montenegro.
|
E1323530
|
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: TIV | Statement: [Tivat, airportIATAcode, TIV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TIV Context triple: [Tivat, airportIATAcode, TIV]
-
A.
Tiv
The Tiv are an ethnic group primarily found in central Nigeria, known for their rich agricultural traditions, distinctive language, and vibrant cultural festivals.
-
B.
TIB
TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
-
C.
Tivim
Tivim is a village in North Goa, India, known primarily for its railway station on the Konkan Railway that serves as a key transit point for the region.
-
D.
Tived
Tived is a small village in central Sweden known for its proximity to the historic Tiveden forest and national park.
-
E.
TIT
TIT is a leading Japanese national research university in Tokyo renowned for its strong programs in science, engineering, and technology.
- 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: TIV Triple: [Tivat, airportIATAcode, TIV]
Generated description
TIV is the IATA airport code for Tivat Airport, a regional international airport serving the coastal town of Tivat in Montenegro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TIV Target entity description: TIV is the IATA airport code for Tivat Airport, a regional international airport serving the coastal town of Tivat in Montenegro.
-
A.
Tiv
The Tiv are an ethnic group primarily found in central Nigeria, known for their rich agricultural traditions, distinctive language, and vibrant cultural festivals.
-
B.
TIB
TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
-
C.
Tivim
Tivim is a village in North Goa, India, known primarily for its railway station on the Konkan Railway that serves as a key transit point for the region.
-
D.
Tived
Tived is a small village in central Sweden known for its proximity to the historic Tiveden forest and national park.
-
E.
TIT
TIT is a leading Japanese national research university in Tokyo renowned for its strong programs in science, engineering, and technology.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b12606081908ea320fd8d5554c6 |
completed | April 19, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03f0ab8760819093e1132b91030b79 |
completed | May 13, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_6a03f24c7e248190a3330f339c0caded |
completed | May 13, 2026, 3:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03f2d8703881909b78c2377d9bb542 |
completed | May 13, 2026, 3:41 a.m. |
Created at: April 10, 2026, 11:22 a.m.