Triple
T10358719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATA Airlines |
E244072
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
ATALAR
ATALAR is the radio callsign used by the former American low-cost carrier ATA Airlines during air traffic communications.
|
E858595
|
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: ATALAR | Statement: [ATA Airlines, callsign, ATALAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATALAR Context triple: [ATA Airlines, callsign, ATALAR]
-
A.
ATAS
ATAS is the commonly used acronym for the Academy of Television Arts & Sciences, the organization best known for administering the Primetime Emmy Awards.
-
B.
Alatala
Alatala is a settlement located within the Qakh District of Azerbaijan.
-
C.
ALTR
ALTR is the stock ticker symbol for Altera Corporation, a former leading manufacturer of programmable logic devices that was acquired by Intel.
-
D.
Tal
Tal is a common Latvian and Jewish surname most famously borne by Mikhail Tal, the eighth World Chess Champion renowned for his brilliant attacking style.
-
E.
Taraklı
Taraklı is a small historic town in northwestern Turkey known for its well-preserved Ottoman-era wooden houses and tranquil rural atmosphere.
- 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: ATALAR Triple: [ATA Airlines, callsign, ATALAR]
Generated description
ATALAR is the radio callsign used by the former American low-cost carrier ATA Airlines during air traffic communications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ATALAR Target entity description: ATALAR is the radio callsign used by the former American low-cost carrier ATA Airlines during air traffic communications.
-
A.
ATAS
ATAS is the commonly used acronym for the Academy of Television Arts & Sciences, the organization best known for administering the Primetime Emmy Awards.
-
B.
Alatala
Alatala is a settlement located within the Qakh District of Azerbaijan.
-
C.
ALTR
ALTR is the stock ticker symbol for Altera Corporation, a former leading manufacturer of programmable logic devices that was acquired by Intel.
-
D.
Tal
Tal is a common Latvian and Jewish surname most famously borne by Mikhail Tal, the eighth World Chess Champion renowned for his brilliant attacking style.
-
E.
Taraklı
Taraklı is a small historic town in northwestern Turkey known for its well-preserved Ottoman-era wooden houses and tranquil rural atmosphere.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e95708c481909c8c8cb2a57bf6d6 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750b02ae48190898f9f97ab19ce60 |
completed | April 9, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_69d7618ecb748190a492406eabe590d7 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d77057affc8190b420e66560c3dfbd |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 6, 2026, 11:59 a.m.