Triple
T30360311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Dynasty of Kish |
E772263
|
entity |
| Predicate | hasPrimaryCityType |
P11334
|
FINISHED |
| Object | city-state |
—
|
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 | Statement: [Third Dynasty of Kish, hasPrimaryCityType, city-state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryCityType Context triple: [Third Dynasty of Kish, hasPrimaryCityType, city-state]
-
A.
isPrimaryPopulatedAreaOf
Indicates that a populated place is the main or principal inhabited area associated with a larger geographic or administrative entity.
-
B.
primaryCity
Indicates that one city serves as the main or most important city associated with a given region, entity, or context.
-
C.
hasPopulationCenterType
chosen
Indicates the classification of a population center by its type, such as city, town, village, or other settlement category.
-
D.
hasMajorCity
Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
-
E.
hasMetropolitanAreaType
Indicates that an entity is associated with a specific type or classification of metropolitan area (e.g., urban, suburban, metropolitan region category).
- 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ffde9263248190996f970b6cf6e49d |
completed | May 10, 2026, 1:25 a.m. |
| PD | Predicate disambiguation | batch_69ffdd760f1c8190abc6c0c1cd97ba5f |
completed | May 10, 2026, 1:20 a.m. |
Created at: April 29, 2026, 7:57 p.m.