Triple
T23691027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumodraž |
E585296
|
entity |
| Predicate | belongsToSettlementCategory |
P153423
|
FINISHED |
| Object | urban settlement |
—
|
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: urban settlement | Statement: [Kumodraž, belongsToSettlementCategory, urban settlement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToSettlementCategory Context triple: [Kumodraž, belongsToSettlementCategory, urban settlement]
-
A.
connectsSettlementRegion
Indicates a relationship where a settlement is linked or associated with a broader geographic region it belongs to or is situated within.
-
B.
associatedWithSettlement
Indicates a relationship where an entity is linked or connected to a particular settlement, such as a town, village, or city.
-
C.
settingCategory
Indicates the classification or type of context in which something is set or configured (e.g., grouping settings under a common category).
-
D.
isSettlementOf
Indicates that one entity is a settlement (such as a town, village, or city) that belongs to, is located within, or is administratively part of another entity.
-
E.
tierSetAssociation
Indicates an association that links an entity to a specific tier or tier set within a tiered structure or classification.
- F. None of above. chosen
Provenance (4 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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b5c27af481908c6dbe59c71de82a |
completed | April 29, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f157cc43a881909ed2d8b0a09b5d73 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 17, 2026, 6:52 p.m.