Triple
T1503343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSCO |
E33844
|
entity |
| Predicate | issuerFounded |
P29434
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [CSCO, issuerFounded, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issuerFounded Context triple: [CSCO, issuerFounded, 1984]
-
A.
issuerFoundedAs
Indicates that the issuer was originally established or created under a particular prior name, form, or organizational identity.
-
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.
issuerType
Indicates the classification or category of the entity that issues something (such as a document, credential, or instrument).
-
D.
issuerIncorporationCountry
Indicates the country in which the issuing entity is legally incorporated.
-
E.
issuedWith
Indicates that one entity is formally provided, granted, or supplied together with another entity as part of the same issuance event.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90584b8b881908e112c7e59163812 |
completed | March 5, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69a88727ce48819089b482cdc25453d1 |
completed | March 4, 2026, 7:25 p.m. |
| PDg | Predicate description generation | batch_69a90582f2548190bc0a6bdcd6d9d015 |
completed | March 5, 2026, 4:24 a.m. |
Created at: March 4, 2026, 7:24 p.m.