Triple
T34038602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gate 4 |
E872875
|
entity |
| Predicate | homeStandLocation |
P178165
|
FINISHED |
| Object | Gate 4 stand at Toumba Stadium |
—
|
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: Gate 4 stand at Toumba Stadium | Statement: [Gate 4, homeStandLocation, Gate 4 stand at Toumba Stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeStandLocation Context triple: [Gate 4, homeStandLocation, Gate 4 stand at Toumba Stadium]
-
A.
homeStand
Indicates that an entity plays or appears at its own home venue or location, typically as the host side in a series of events or games.
-
B.
homeStandOf
Indicates that a particular venue or location serves as the primary home stadium or home ground for a sports team or organization.
-
C.
homeEndLocation
Indicates the location where a journey, route, or movement that starts from home comes to an end.
-
D.
homeBaseOf
Indicates that a particular place serves as the primary location, headquarters, or main operational base for an entity.
-
E.
doorLocation
Indicates the spatial position or placement of a door relative to a reference structure or area.
- 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_69f349a3363081909cea4c9a848cefe2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:51 a.m.