Triple
T34948288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Person |
E1007912
|
entity |
| Predicate | mayBeIdentifiedBy |
P9157
|
FINISHED |
| Object | Authorized access point |
—
|
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: Authorized access point | Statement: [Person, mayBeIdentifiedBy, Authorized access point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeIdentifiedBy Context triple: [Person, mayBeIdentifiedBy, Authorized access point]
-
A.
identifiableBy
Indicates that one entity can be uniquely recognized, distinguished, or referenced by another entity (such as an identifier, attribute, or feature).
-
B.
identifiedIn
Indicates that an entity is recognized, discovered, or documented within a specified source, context, or location.
-
C.
helpsIdentify
chosen
Indicates a relationship where one entity serves to distinguish, recognize, or determine the identity or characteristics of another entity.
-
D.
identifiedUsing
Indicates that one entity was recognized, distinguished, or determined by means of a specified method, tool, or identifier.
-
E.
hasUncertainIdentification
Indicates that the identification or classification of an entity in the relationship is doubtful, ambiguous, or not fully confirmed.
- 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4 p.m.