Triple
T19884972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silverlake Stadium |
E477873
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Ten Acres |
—
|
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: Ten Acres | Statement: [Silverlake Stadium, formerName, Ten Acres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ten Acres Context triple: [Silverlake Stadium, formerName, Ten Acres]
-
A.
Ten Acres
chosen
Ten Acres is a football stadium in Eastleigh, Hampshire, best known as the long-time home of Eastleigh F.C.
-
B.
Greenacre
Greenacre is a residential suburb in south-western Sydney, New South Wales, known for its multicultural community and proximity to Bankstown.
-
C.
Sixty Acres
"Sixty Acres" is a short story by Raymond Carver, known for its minimalist style and exploration of ordinary lives and quiet emotional tensions.
-
D.
Pastures of Plenty
Pastures of Plenty is a folk song by Woody Guthrie that reflects the struggles and resilience of migrant workers during the Dust Bowl era.
-
E.
Sportsmen Acres
Sportsmen Acres is a small town located in Mayes County in northeastern Oklahoma, United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659093df081909d3be9c3caeb79ba |
completed | April 20, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:52 p.m.