Triple
T1001375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BA |
E21609
|
entity |
| Predicate | issuerBusiness |
P21206
|
FINISHED |
| Object | aerospace manufacturing |
—
|
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: aerospace manufacturing | Statement: [BA, issuerBusiness, aerospace manufacturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issuerBusiness Context triple: [BA, issuerBusiness, aerospace manufacturing]
-
A.
issuerType
Indicates the classification or category of the entity that issues something (such as a document, credential, or instrument).
-
B.
issuedBy
Indicates that something (such as a document, order, or statement) has been formally created, authorized, or released by a particular agent or authority.
-
C.
hasBusiness
chosen
Indicates that one entity owns, operates, or is formally associated with a business entity.
-
D.
respondentBusiness
Indicates that a business entity is the one providing answers or participating as the responding party in a survey, form, or legal/administrative process.
-
E.
issuerCountry
Indicates the country that has issued or is responsible for the issuance of a given entity (such as a document, instrument, or security).
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4fcbc04819098d2125518f62ae7 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b1f4f88190822598cfd2a0fd2b |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.