Triple
T12590407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leones del Caracas |
E300586
|
entity |
| Predicate | homeCityInstanceOf |
P22796
|
FINISHED |
| Object | capital 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: capital city | Statement: [Leones del Caracas, homeCityInstanceOf, capital city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeCityInstanceOf Context triple: [Leones del Caracas, homeCityInstanceOf, capital city]
-
A.
hostCityInstanceOf
Indicates that a specific host city is an instance of a particular class or type of host city (e.g., Olympic host city, World Cup host city).
-
B.
hasHomeCity
Indicates that an entity’s primary or official city of residence or affiliation is a specified city.
-
C.
isMunicipalHomeOf
chosen
Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
-
D.
homeTownType
Indicates the type or classification of a person's hometown (e.g., city, village, suburb).
-
E.
nativeCity
Indicates that a city is the place where a person was born or is originally from.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:07 p.m.