Triple
T37007383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dungan Mosque |
E915839
|
entity |
| Predicate | cityTypeOfLocation |
P142042
|
FINISHED |
| Object | provincial town |
—
|
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: provincial town | Statement: [Dungan Mosque, cityTypeOfLocation, provincial town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityTypeOfLocation Context triple: [Dungan Mosque, cityTypeOfLocation, provincial town]
-
A.
cityTypeLocation
chosen
Indicates that a location is classified as a specific type of city (e.g., capital, metropolitan, coastal).
-
B.
cityIs
Indicates that one entity is a city associated with, or identified as, another entity.
-
C.
cityLocation
Indicates that a city is geographically situated within or associated with a specific larger area or place.
-
D.
cityName
Indicates that the associated value is the name of a city.
-
E.
cityGroupType
Indicates the classification or category type assigned to a group of cities within a larger organizational or geographic structure.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.