Triple
T2743732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Capital City |
E60813
|
entity |
| Predicate | refersToTypeOfPlace |
P16688
|
FINISHED |
| Object | city |
—
|
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: city | Statement: [The Capital City, refersToTypeOfPlace, city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToTypeOfPlace Context triple: [The Capital City, refersToTypeOfPlace, city]
-
A.
placeType
chosen
Indicates the type or category of place associated with an entity (e.g., city, park, building).
-
B.
refersToVenueType
Indicates that one entity specifies or identifies the type or category of venue associated with another entity.
-
C.
refersToLocation
Indicates that one entity designates, points to, or identifies a specific location associated with it.
-
D.
isPopulatedPlaceIn
Indicates that a populated place (such as a city, town, or village) is located within a specified larger geographic or administrative area.
-
E.
typeOfToponym
Indicates the specific category or kind of place name (toponym) that applies to a given geographic entity.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb32ef74819096ae399d16d4f31d |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd829f1e88190aab1d54f87c69714 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.