Triple
T16061583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SkyTeam |
E389626
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | TAROM |
E32510
|
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: TAROM | Statement: [SkyTeam, hasMember, TAROM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAROM Context triple: [SkyTeam, hasMember, TAROM]
-
A.
TAROM
chosen
TAROM is the national flag carrier airline of Romania, operating domestic and international flights primarily from its hub in Bucharest.
-
B.
Turkish Airlines
Turkish Airlines is the national flag carrier airline of Turkey, operating an extensive global network of passenger and cargo flights across Europe, Asia, Africa, and the Americas.
-
C.
Hunnu Air
Hunnu Air is a Mongolian airline that operates domestic and regional international flights, primarily serving as a key carrier based in Ulaanbaatar.
-
D.
Pegasus Airlines
Pegasus Airlines is a Turkish low-cost carrier based in Istanbul that operates an extensive network of domestic and international flights across Europe, the Middle East, and beyond.
-
E.
Bulgaria Air
Bulgaria Air is the national flag carrier airline of Bulgaria, operating domestic and international flights across 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183795100819097be92e6d07dc5b1 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe88a608190bc0a0cbfdb71e81d |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:57 a.m.