Triple
T5671556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1959 Mediterranean Games |
E124988
|
entity |
| Predicate | hostCityInstanceOf |
P65894
|
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: [1959 Mediterranean Games, hostCityInstanceOf, capital city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCityInstanceOf Context triple: [1959 Mediterranean Games, hostCityInstanceOf, capital city]
-
A.
hostCitySelectionLocation
Indicates the location where the selection of a host city takes place.
-
B.
hostCityRegion
Indicates the city or broader region that serves as the host location for a specified event or entity.
-
C.
hostCitySelectionCountry
Indicates the country responsible for selecting or designating the host city for a particular event or activity.
-
D.
hasHostCity
Indicates that a particular event, organization, or activity is located in or officially hosted by a specific city.
-
E.
hostTeamCity
Indicates the city where the host team is based or where it plays its home events.
- F. None of above. chosen
Provenance (4 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c0252e18988190a8f3aa0684c12fb8 |
completed | March 22, 2026, 5:21 p.m. |
Created at: March 22, 2026, 3:43 p.m.