Triple
T3725921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esenboğa International Airport |
E81748
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LTAC
LTAC is the ICAO airport code for Esenboğa International Airport, the main airport serving Ankara, Turkey.
|
E381683
|
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: LTAC | Statement: [Esenboğa International Airport, ICAOcode, LTAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LTAC Context triple: [Esenboğa International Airport, ICAOcode, LTAC]
-
A.
LAC
LAC refers to the Los Angeles Clippers, a professional NBA basketball team based in Los Angeles and a crosstown rival of the Los Angeles Lakers.
-
B.
LAT
LAT is the Large Area Telescope, a high-energy gamma-ray detector aboard NASA's Fermi Gamma-ray Space Telescope used to study cosmic gamma-ray sources.
-
C.
LAT
LAT is the International Ice Hockey Federation (IIHF) country code used to represent the Latvia men's national ice hockey team in international competitions.
-
D.
ATLC
ATLC is the station code for the Atlantic City Rail Terminal, a key passenger rail hub in Atlantic City, New Jersey.
-
E.
SLACA
SLACA is the commonly used abbreviation for the Society for Latin American and Caribbean Anthropology, a professional organization focused on the anthropological study of Latin America and the Caribbean.
- 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: LTAC Triple: [Esenboğa International Airport, ICAOcode, LTAC]
Generated description
LTAC is the ICAO airport code for Esenboğa International Airport, the main airport serving Ankara, Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LTAC Target entity description: LTAC is the ICAO airport code for Esenboğa International Airport, the main airport serving Ankara, Turkey.
-
A.
LAC
LAC refers to the Los Angeles Clippers, a professional NBA basketball team based in Los Angeles and a crosstown rival of the Los Angeles Lakers.
-
B.
LAT
LAT is the Large Area Telescope, a high-energy gamma-ray detector aboard NASA's Fermi Gamma-ray Space Telescope used to study cosmic gamma-ray sources.
-
C.
LAT
LAT is the International Ice Hockey Federation (IIHF) country code used to represent the Latvia men's national ice hockey team in international competitions.
-
D.
ATLC
ATLC is the station code for the Atlantic City Rail Terminal, a key passenger rail hub in Atlantic City, New Jersey.
-
E.
SLACA
SLACA is the commonly used abbreviation for the Society for Latin American and Caribbean Anthropology, a professional organization focused on the anthropological study of Latin America and the Caribbean.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf669d48190852aaeef70265404 |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce206cb88190985a727b769e1e12 |
completed | March 14, 2026, 2:55 a.m. |
| NEDg | Description generation | batch_69b4cf1840bc81908a85642430ab5339 |
completed | March 14, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4cf92e9c48190a3d87ba1f90548ec |
completed | March 14, 2026, 3:01 a.m. |
Created at: March 8, 2026, 3:34 p.m.