Triple
T14613596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CAL |
E343020
|
entity |
| Predicate | relatedTicker |
P3440
|
FINISHED |
| Object | UAL |
E47888
|
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: UAL | Statement: [CAL, relatedTicker, UAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UAL Context triple: [CAL, relatedTicker, UAL]
-
A.
UAL
chosen
UAL is the ICAO airline designator used to identify United Airlines in aviation operations and air traffic control.
-
B.
UL
UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
-
C.
UL
UL is the vehicle registration code for the district that includes the municipality of Lauterach in Austria.
-
D.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
-
E.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb45264988190a1df13e8b54a85bd |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde16c005c81908b54fcfd4243d820 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:25 a.m.