Triple
T30163663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gudea inscriptions |
E766734
|
entity |
| Predicate | politicalEntityMentioned |
P83014
|
FINISHED |
| Object | city-state of Lagash |
—
|
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: city-state of Lagash | Statement: [Gudea inscriptions, politicalEntityMentioned, city-state of Lagash]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalEntityMentioned Context triple: [Gudea inscriptions, politicalEntityMentioned, city-state of Lagash]
-
A.
politicalEntity
Indicates that an entity functions as or is recognized as a political unit, organization, or actor within a political system.
-
B.
politicalEntityWithin
Indicates that one political entity is geographically or administratively contained within another political entity.
-
C.
politicalEntityConstrained
Indicates that a political entity is subject to limitations, restrictions, or control imposed by another actor, rule, or condition.
-
D.
involvedPoliticalEntity
Indicates that a political entity participates in, is associated with, or plays a role in a given event, action, or relationship.
-
E.
featuresPoliticalEntity
chosen
Indicates that something includes, presents, or prominently involves a political entity in its content or composition.
- 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_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: April 29, 2026, 7:22 p.m.