Triple
T4320792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunisair Handling |
E96509
|
entity |
| Predicate | primaryClient |
P9839
|
FINISHED |
| Object | Tunisair |
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 | Statement: [Tunisair Handling, primaryClient, Tunisair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tunisair Context triple: [Tunisair Handling, primaryClient, Tunisair]
-
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.
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.
-
D.
Royal Air Maroc
Royal Air Maroc is the flag carrier airline of Morocco, operating an extensive network of flights across Africa, Europe, the Americas, and the Middle East from its main hub in Casablanca.
-
E.
Afriqiyah Airways
Afriqiyah Airways is a Libyan state-owned airline based in Tripoli that operates scheduled passenger services across Africa, Europe, and the Middle East.
- 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_69b5e4ef0ca881908d9811183adc26c4 |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:12 p.m.