Triple
T35856888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1988 Summer Paralympics |
E1036532
|
entity |
| Predicate | cityAlsoHosted |
P12478
|
FINISHED |
| Object | 1988 Summer Olympics |
—
|
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: 1988 Summer Olympics | Statement: [1988 Summer Paralympics, cityAlsoHosted, 1988 Summer Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityAlsoHosted Context triple: [1988 Summer Paralympics, cityAlsoHosted, 1988 Summer Olympics]
-
A.
cityHostedAgain
chosen
Indicates that a city has hosted a particular event on more than one occasion, including the current instance.
-
B.
cityOfVenue
Indicates the city in which a given venue is located.
-
C.
hostCityOfEventParticipatedIn
Indicates that a city is the location where a particular event took place in which an entity participated.
-
D.
hostCityOfEvent
Indicates that a city serves as the location where a particular event is held or takes place.
-
E.
associatedCityEvent
Indicates a relationship where a city is linked to, involved in, or serves as the location for a particular event.
- 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_69f76e1b4aa481909630373171eb5ec6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.