Triple
T4320650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunisair |
E96506
|
entity |
| Predicate | radioCallsign |
P1565
|
FINISHED |
| Object | TUNAIR |
E96506
|
NE FINISHED |
How this triple was built (2 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: TUNAIR | Statement: [Tunisair, radioCallsign, TUNAIR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TUNAIR Context triple: [Tunisair, radioCallsign, TUNAIR]
-
A.
TUNAIR
chosen
TUNAIR is the radio callsign used by Tunisair, the national flag carrier airline of Tunisia.
-
B.
TUN
TUN is the three-letter ISO 3166-1 alpha-3 country code assigned to Tunisia.
-
C.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
-
D.
TUNAN
TUNAN is an academic consortium led by Tohoku University that connects universities across Asia to promote collaborative education and research.
-
E.
Tunechi
Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35114ed2c8190949c5d8032d7b921 |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d08d70408190aca5793a480cf54f |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:12 p.m.