Triple
T3261169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ambrolauri |
E68411
|
entity |
| Predicate | airportIATAcode |
P418
|
FINISHED |
| Object |
ABL
ABL is the IATA airport code assigned to Ambrolauri Airport in Georgia.
|
E342854
|
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: ABL | Statement: [Ambrolauri, airportIATAcode, ABL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABL Context triple: [Ambrolauri, airportIATAcode, ABL]
-
A.
ABL
ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
-
B.
ABC
ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
-
C.
ABC
ABC is a pioneering English new wave band best known for their polished, synth-driven pop sound and the influential 1982 album "The Lexicon of Love."
-
D.
ABA
The ABA (American Basketball Association) was a professional basketball league that operated in the United States from 1967 to 1976 and later merged with the NBA, known for its flashy style, three-point line, and red-white-and-blue basketball.
-
E.
ABA
ABA is the commonly used acronym for the American Bar Association, the national professional organization for lawyers and the legal profession in the United States.
- 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: ABL Triple: [Ambrolauri, airportIATAcode, ABL]
Generated description
ABL is the IATA airport code assigned to Ambrolauri Airport in Georgia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ABL Target entity description: ABL is the IATA airport code assigned to Ambrolauri Airport in Georgia.
-
A.
ABL
ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
-
B.
ABC
ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
-
C.
ABC
ABC is a pioneering English new wave band best known for their polished, synth-driven pop sound and the influential 1982 album "The Lexicon of Love."
-
D.
ABA
The ABA (American Basketball Association) was a professional basketball league that operated in the United States from 1967 to 1976 and later merged with the NBA, known for its flashy style, three-point line, and red-white-and-blue basketball.
-
E.
ABA
ABA is the commonly used acronym for the American Bar Association, the national professional organization for lawyers and the legal profession in the United States.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafa7fea08190b089b6174fd7cd32 |
completed | March 8, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ede248c8190b5a1f9403787361c |
completed | March 12, 2026, 10:01 a.m. |
| NEDg | Description generation | batch_69b2966f189c8190bb56daea54be8a93 |
completed | March 12, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2d6c1c65c81909e661c6beaaec9af |
completed | March 12, 2026, 3:07 p.m. |
Created at: March 8, 2026, 3:09 p.m.