Triple
T13509972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mindoo Phillip Park |
E321111
|
entity |
| Predicate | hasLocalName |
P6353
|
FINISHED |
| Object | Mindoo Phillip Park |
E321111
|
NE 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: Mindoo Phillip Park | Statement: [Mindoo Phillip Park, hasLocalName, Mindoo Phillip Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mindoo Phillip Park Context triple: [Mindoo Phillip Park, hasLocalName, Mindoo Phillip Park]
-
A.
Mindoo Phillip Park
chosen
Mindoo Phillip Park is a prominent multi-purpose cricket and sports stadium located in Castries, Saint Lucia.
-
B.
Wonch Park
Wonch Park is a public recreational park located in Meridian Township, Michigan, offering green space, trails, and outdoor amenities for community use.
-
C.
Keon Park
Keon Park is a suburban railway station in Melbourne, Australia, serving the local community on the metropolitan rail network.
-
D.
Ryan Park
Ryan Park is an Australian Labor Party politician who serves as a senior minister in the New South Wales government under Premier Chris Minns.
-
E.
Taesung Park
Taesung Park is a computer vision researcher best known for co-authoring the CycleGAN framework for unpaired image-to-image translation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf85a74081909eb08751fc55ce8f |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75490291c8190b5985d8c90ef1af6 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.