Triple
T17347880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ndar |
E421730
|
entity |
| Predicate | reflectsIdentity |
P3935
|
FINISHED |
| Object | local cultural identity |
—
|
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: local cultural identity | Statement: [Ndar, reflectsIdentity, local cultural identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsIdentity Context triple: [Ndar, reflectsIdentity, local cultural identity]
-
A.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
-
B.
subjectIdentity
Indicates that two or more references correspond to the same underlying entity or individual identity.
-
C.
originalIdentity
Indicates that one entity represents the initial or true identity from which another entity is derived, transformed, or aliased.
-
D.
reflects
chosen
Indicates that one entity (often a surface, medium, or representation) throws back, mirrors, or otherwise shows an image, property, or state of another entity.
-
E.
typeOfIdentity
Indicates the specific category or nature of identity that characterizes or defines an entity within a given context.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2a2ee48190976732e654a40053 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.