Triple
T30164907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puzrish-Dagan |
E766767
|
entity |
| Predicate | contributesToKnowledgeOf |
P1993
|
FINISHED |
| Object | Ur III provincial network |
—
|
NE NERFINISHED |
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: Ur III provincial network | Statement: [Puzrish-Dagan, contributesToKnowledgeOf, Ur III provincial network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributesToKnowledgeOf Context triple: [Puzrish-Dagan, contributesToKnowledgeOf, Ur III provincial network]
-
A.
usesKnowledgeOf
Indicates that one entity applies or draws upon the knowledge possessed by another entity in performing an action or achieving a result.
-
B.
contributeTo
chosen
Indicates that one entity provides support, resources, or effort that helps bring about, enhance, or maintain another entity, outcome, or state.
-
C.
knowledgeTransferredVia
Indicates that knowledge is passed from one entity to another through a specified medium, method, or channel.
-
D.
scopeOfContribution
Indicates the specific area, domain, or extent within which an entity’s contribution or involvement applies.
-
E.
knows
Indicates that one entity has knowledge or awareness of another entity or piece of information.
- 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_69f2247a968881909d79c18f2bfcb275 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: April 29, 2026, 7:22 p.m.