Triple
T8219719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fog City |
E192026
|
entity |
| Predicate | associatedCityType |
P46659
|
FINISHED |
| Object | municipality directly under the central government |
—
|
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: municipality directly under the central government | Statement: [Fog City, associatedCityType, municipality directly under the central government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCityType Context triple: [Fog City, associatedCityType, municipality directly under the central government]
-
A.
cityAssociatedWith
Indicates that there is a notable connection or relationship between a city and another entity, such as relevance, involvement, or contextual association.
-
B.
associatedCityState
Indicates a relationship where a city is linked to the state with which it is formally or contextually connected.
-
C.
connectsTypeOfCity
chosen
Indicates a relationship where one entity is linked to another as a specific type or category of city.
-
D.
cityServedType
Indicates the type or category of city that is served by a given entity (such as a facility, service, or infrastructure).
-
E.
representedCity
Indicates that an entity serves as the official representative or proxy for a particular city.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb7772b76c8190b1952650c736eb91 |
completed | March 31, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69cb36af41e081909dee92b9bc4947f1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:45 p.m.