Triple
T9769361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | el-Badari |
E237079
|
entity |
| Predicate | hasTypeSiteRole |
P44791
|
FINISHED |
| Object | type site of Badarian culture |
—
|
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: type site of Badarian culture | Statement: [el-Badari, hasTypeSiteRole, type site of Badarian culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeSiteRole Context triple: [el-Badari, hasTypeSiteRole, type site of Badarian culture]
-
A.
hasTypeSiteFor
chosen
Indicates that one entity serves as the specific site or location designated for a particular type or category of another entity.
-
B.
hasSiteGroup
Indicates that an entity is associated with or belongs to a particular site group.
-
C.
hasRole
Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
-
D.
hasGlobalRole
Indicates that an entity holds a role or permission set that applies across an entire system or domain, rather than being limited to a specific scope or context.
-
E.
hasLegalRole
Indicates that an entity holds a specific legal capacity, status, or function in relation to another entity or 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0f0c64c81908f3435dd49c0218b |
completed | April 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.