Triple
T4281106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Mary's Stadium |
E97150
|
entity |
| Predicate | isHomeGroundSince |
P55191
|
FINISHED |
| Object | 2001 |
—
|
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: 2001 | Statement: [St Mary's Stadium, isHomeGroundSince, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHomeGroundSince Context triple: [St Mary's Stadium, isHomeGroundSince, 2001]
-
A.
stateOfHomeGround
Indicates the location or region that serves as an entity’s primary home ground or base of operations.
-
B.
isHomeFieldOf
Indicates that a particular location or venue serves as the primary home field or home ground for a specific team or organization.
-
C.
hasGrounds
Indicates that one entity possesses or includes a physical area of land or outdoor space associated with it.
-
D.
homeGroundType
Indicates the type or category of venue that serves as an entity’s designated home ground.
-
E.
usesGroundSystem
Indicates that one entity operates, relies on, or interacts with a particular ground-based system to perform its functions or services.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35037b654819087abbb5ea231eefd |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347fc4c0c8190a7fcd814e27308a5 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:07 p.m.