Triple
T10518001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ETH |
E248085
|
entity |
| Predicate | airlineIATACode |
P12360
|
FINISHED |
| Object | ET |
E248084
|
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: ET | Statement: [ETH, airlineIATACode, ET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ET Context triple: [ETH, airlineIATACode, ET]
-
A.
ET
chosen
ET is the two-letter IATA airline designator assigned to Ethiopian Airlines, the flag carrier of Ethiopia.
-
B.
ET
ET is the time standard used on the east coast of North America, including major cities like New York and Toronto, switching between Eastern Standard Time (EST) and Eastern Daylight Time (EDT) seasonally.
-
C.
ERT
ERT is an acronym commonly used to refer to an Emergency Response Team, a specialized group trained to react quickly and effectively to crises or hazardous incidents.
-
D.
ETS
ETS is a nonprofit organization that develops and administers standardized tests and assessments used worldwide for education, certification, and professional licensing.
-
E.
ETS
ETS is the abbreviation for the Educational and Training Services Branch, a unit responsible for developing and delivering education and training programs.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cd0fb8819087de2f9a93bad6e6 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933e4ae048190be51a02c571fab8b |
completed | April 10, 2026, 5:31 p.m. |
Created at: April 6, 2026, 12:28 p.m.