Triple
T16937487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DTTA |
E410866
|
entity |
| Predicate | servesAsHubFor |
P423
|
FINISHED |
| Object | Tunisair Express |
E17920
|
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: Tunisair Express | Statement: [DTTA, servesAsHubFor, Tunisair Express]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tunisair Express Context triple: [DTTA, servesAsHubFor, Tunisair Express]
-
A.
Tunisair
chosen
Tunisair is the flag carrier airline of Tunisia, operating domestic and international flights primarily from its hub in Tunis.
-
B.
Tassili Airlines
Tassili Airlines is an Algerian airline based in Algiers that operates domestic and regional flights, primarily serving the oil and gas industry and general passenger traffic.
-
C.
Air Sahara
Air Sahara was an Indian private airline that operated domestic and limited international flights before being acquired and rebranded by Jet Airways.
-
D.
Libyan Arab Airlines
Libyan Arab Airlines is the former national flag carrier of Libya, operating domestic and international passenger services primarily based out of Tripoli.
-
E.
Kam Air
Kam Air is a privately owned Afghan airline based in Kabul that operates domestic and international passenger flights.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2adf448190ab0dbebb3addbd80 |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d45e64d881909da963825d2eea98 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:30 a.m.