Triple
T24240841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pomone |
E603217
|
entity |
| Predicate | cityOfCulturalImpact |
P21809
|
FINISHED |
| Object | Paris |
—
|
NE NERFINISHED |
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: Paris | Statement: [Pomone, cityOfCulturalImpact, Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfCulturalImpact Context triple: [Pomone, cityOfCulturalImpact, Paris]
-
A.
cityOfInfluence
chosen
Indicates the city that significantly shapes, impacts, or exerts influence over a given entity.
-
B.
countryOfCulturalSignificance
Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
-
C.
notableImpactCity
Indicates that an entity has had a significant or widely recognized impact on a particular city.
-
D.
hasCulturalSignificanceFor
Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
-
E.
wasCulturalCapitalOf
Indicates that a place served as the recognized cultural center or leading hub of cultural activity for another entity during a certain period.
- 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_69e2953f631c819097cbb421046bd417 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28a9f812c81909dba8fbb54d8985c |
completed | April 29, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:03 a.m.