Triple
T8658908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing Guoan F.C. |
E205494
|
entity |
| Predicate | isFromCapitalCity |
P5025
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Beijing Guoan F.C., isFromCapitalCity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFromCapitalCity Context triple: [Beijing Guoan F.C., isFromCapitalCity, true]
-
A.
homeCityIsCapital
Indicates that the person’s home city is the capital city of a relevant larger region, such as a country or state.
-
B.
containsCapitalOf
Indicates that one location geographically includes the city that serves as the capital of another region or entity.
-
C.
isDistrictCapitalOf
Indicates that a location serves as the administrative or governmental capital of a specified district.
-
D.
locatedInCapital
chosen
Indicates that an entity is situated within the capital city of a specified region, country, or administrative area.
-
E.
isProvincialCapital
Indicates that a location serves as the administrative capital of a province within a country or region.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc486ece68819089c74bdf98b64490 |
completed | March 31, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69cc4564e018819081036722f3e42a71 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:30 p.m.