Triple
T2603861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LS |
E58608
|
entity |
| Predicate | airlineOperationsStartYear |
P41160
|
FINISHED |
| Object | 2003 |
—
|
LITERAL 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: 2003 | Statement: [LS, airlineOperationsStartYear, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineOperationsStartYear Context triple: [LS, airlineOperationsStartYear, 2003]
-
A.
airlineFoundedAs
Indicates that one airline was originally established or created under a particular initial name, structure, or predecessor airline.
-
B.
operatedForAirline
Indicates that an aircraft or flight was operated on behalf of, or under the branding of, a particular airline.
-
C.
airlineAllianceJoinDate
Indicates the date on which an airline became a member of a particular airline alliance.
-
D.
finalCommercialFlightDate
Indicates the calendar date on which an entity’s last commercial flight operation took place.
-
E.
firstOperationalCrewFlightYear
Indicates the year in which the first operational crewed flight associated with the subject took place.
- F. None of above. chosen
Provenance (4 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd80ab7248190ba06ba14fe4c5638 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8dd05c48190b4f90031642c4091 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:49 p.m.