Triple
T7716158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEDAR JET |
E174888
|
entity |
| Predicate | callsignType |
P4790
|
FINISHED |
| Object | company callsign |
—
|
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: company callsign | Statement: [CEDAR JET, callsignType, company callsign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: callsignType Context triple: [CEDAR JET, callsignType, company callsign]
-
A.
callsign
Indicates that an entity is assigned or uses a specific radio or identification callsign as its designated identifier in communication contexts.
-
B.
callsignCondition
Indicates a condition or constraint that must be satisfied by an entity’s callsign within the relationship or context.
-
C.
callsignSeries
Indicates that one entity is a member or installment within a series or sequence that shares the same callsign.
-
D.
callsignOfOperator
Indicates that one entity is the radio or communication callsign assigned to or used by another entity acting as an operator.
-
E.
callSignType
chosen
Indicates the classification or category of a call sign associated with an entity or communication.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:04 p.m.