Triple
T21090248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rizo |
E519616
|
entity |
| Predicate | inhabitedPlaceCategory |
P16688
|
FINISHED |
| Object | small 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: small settlement | Statement: [Rizo, inhabitedPlaceCategory, small settlement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inhabitedPlaceCategory Context triple: [Rizo, inhabitedPlaceCategory, small settlement]
-
A.
inhabitedIn
Indicates that an entity lives, resides, or has its dwelling within a specified place or location.
-
B.
placeType
chosen
Indicates the type or category of place associated with an entity (e.g., city, park, building).
-
C.
humanSettlementType
Indicates the classification of a human settlement based on its form or function, such as village, town, or city.
-
D.
cultLocation
Indicates that a cult or religious group is based in, practices in, or is primarily associated with a particular location.
-
E.
isPopulatedPlace
Indicates that the subject is a geographic location where people live or have lived, such as a city, town, village, or settlement.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094dd65481909391ed74115afc23 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:50 p.m.