Triple
T25544021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papazın Çayırı |
E640246
|
entity |
| Predicate | earlyHomeVenueFor |
P158637
|
FINISHED |
| Object | Istanbul football clubs |
—
|
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: Istanbul football clubs | Statement: [Papazın Çayırı, earlyHomeVenueFor, Istanbul football clubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyHomeVenueFor Context triple: [Papazın Çayırı, earlyHomeVenueFor, Istanbul football clubs]
-
A.
earlyHomeVenueFor
chosen
Indicates that one entity served as the primary home venue for another entity during an early or initial period of its existence or activity.
-
B.
home venue type
Indicates the kind or category of place that serves as the primary location where an entity regularly hosts its events or activities.
-
C.
homeVenueTown
Indicates the town or municipality where an entity’s primary or home venue is located.
-
D.
earlyVenue
Indicates that an event or activity takes place at a venue earlier than a standard, expected, or comparative time.
-
E.
homeVenueName
Indicates the name of the primary venue or location where an entity (such as a team, event, or organization) regularly hosts its home activities.
- 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_69e75dbfff7081909b0aa779d48321d2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f896f04c81908294db99385b464e |
completed | May 2, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 3:27 p.m.