Triple
T6070799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cole Park area |
E135274
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Cole Park |
unclear NED1
|
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: Cole Park | Statement: [Cole Park area, adjacentTo, Cole Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cole Park Context triple: [Cole Park area, adjacentTo, Cole Park]
-
A.
Cole Park
Cole Park is a popular waterfront recreational area in Corpus Christi, Texas, featuring green spaces, a fishing pier, playgrounds, and scenic views of Corpus Christi Bay.
-
B.
Cole Park
Cole Park is a popular scenic park and recreational spot in Tezpur, Assam, known for its landscaped gardens, cultural displays, and family-friendly atmosphere.
-
C.
Dean Park
Dean Park is a public recreational park located in Shrewsbury, Massachusetts, offering outdoor green space and community amenities.
-
D.
Kay Park
Kay Park is a public park in Kilmarnock, Scotland, known for its landscaped grounds, recreational spaces, and historical monuments.
-
E.
Philip Ahn
Philip Ahn was a pioneering Korean American actor in Hollywood, known for his numerous film and television roles from the 1930s through the 1970s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05742867481908e3f45c875807c73 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d349f288190833384eb9e6c7f52 |
completed | March 23, 2026, 11 a.m. |
Created at: March 22, 2026, 4:10 p.m.