Triple
T12500298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner Court |
E298801
|
entity |
| Predicate | separationFromCity |
P96091
|
FINISHED |
| Object | physically and administratively separated from the rest of Bangkok in the past |
—
|
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: physically and administratively separated from the rest of Bangkok in the past | Statement: [Inner Court, separationFromCity, physically and administratively separated from the rest of Bangkok in the past]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: separationFromCity Context triple: [Inner Court, separationFromCity, physically and administratively separated from the rest of Bangkok in the past]
-
A.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
-
B.
distanceFromMajorCity
Indicates the measured distance between a given location and a specified major city.
-
C.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
D.
geographicallySeparatedFrom
chosen
Indicates that two places or regions are distinct and apart from each other in physical location or geographic space.
-
E.
distanceCategory
Indicates the qualitative classification of how far apart two entities are from each other (e.g., near, medium, far).
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:57 p.m.