Triple
T2437146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EVA Air |
E52986
|
entity |
| Predicate | fleetIncludes |
P10916
|
FINISHED |
| Object | Boeing 777-300ER |
E23610
|
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: Boeing 777-300ER | Statement: [EVA Air, fleetIncludes, Boeing 777-300ER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boeing 777-300ER Context triple: [EVA Air, fleetIncludes, Boeing 777-300ER]
-
A.
Boeing 777
chosen
The Boeing 777 is a long-range, wide-body twin-engine jet airliner widely used by airlines around the world for international passenger flights.
-
B.
Boeing 777X
The Boeing 777X is Boeing’s latest generation long-range, wide-body twin-engine jet airliner, featuring new composite wings with folding wingtips and upgraded engines for improved efficiency and capacity.
-
C.
Airbus A330
The Airbus A330 is a wide-body, twin-engine jet airliner designed for medium- to long-haul routes and widely used by airlines around the world.
-
D.
Boeing 767
The Boeing 767 is a wide-body, twin-engine jet airliner widely used for medium- to long-haul commercial flights and cargo operations.
-
E.
Airbus A340
The Airbus A340 is a long-range, four-engine wide-body commercial airliner designed for intercontinental 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f342e88190a430b02842ded418 |
completed | March 7, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc308f388190a10f79a02a867057 |
completed | March 11, 2026, 5:22 a.m. |
Created at: March 6, 2026, 9:43 p.m.