Triple
T24686230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St John's Wood Underground station |
E611294
|
entity |
| Predicate | servesCricketGround |
P158088
|
FINISHED |
| Object | Lord's Cricket Ground |
—
|
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: Lord's Cricket Ground | Statement: [St John's Wood Underground station, servesCricketGround, Lord's Cricket Ground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesCricketGround Context triple: [St John's Wood Underground station, servesCricketGround, Lord's Cricket Ground]
-
A.
hasCricketGround
Indicates that one entity possesses, contains, or includes a cricket ground as part of its facilities or attributes.
-
B.
cricketGroundUsedBy
Indicates that a particular cricket ground is regularly used by a specified team, club, or organization for playing or practicing cricket.
-
C.
coversGrounds
Indicates that one entity extends over, occupies, or lies across the surface area of another entity (typically land or grounds).
-
D.
hasTennisCourt
Indicates that one entity possesses, includes, or provides access to a tennis court as part of its facilities or attributes.
-
E.
hasCourtSurface
Indicates that something (such as a court or playing area) possesses a specific type of surface.
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 3:18 a.m.