Triple
T19420909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TBIT |
E485849
|
entity |
| Predicate | servesPrimary |
P1296
|
FINISHED |
| Object | international passengers |
—
|
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: international passengers | Statement: [TBIT, servesPrimary, international passengers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesPrimary Context triple: [TBIT, servesPrimary, international passengers]
-
A.
primaryServes
chosen
Indicates that one entity’s main or principal function is to serve, support, or provide service to another entity.
-
B.
primaryService
Indicates that one entity serves as the main or principal service provided or used in relation to another entity.
-
C.
servesUse
Indicates that one entity is used by or functions to serve the purpose or needs of another entity.
-
D.
servesMainLine
Indicates that one entity functions as the primary or main service line for another entity.
-
E.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
- F. None of above.
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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63214d768819082129100d7116521 |
completed | April 20, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.