Triple
T5402215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denison |
E120802
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Munson Park |
E33318
|
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: Munson Park | Statement: [Denison, hasPark, Munson Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munson Park Context triple: [Denison, hasPark, Munson Park]
-
A.
Munson Park
chosen
Munson Park is a public recreational park located in Denison, Texas, offering outdoor space and amenities for community activities and leisure.
-
B.
Skillman Park
Skillman Park is a public recreational park located in Montgomery Township, New Jersey, known for its open green spaces, walking trails, and natural scenery.
-
C.
Kellogg Park
Kellogg Park is a central public gathering space and community park located in downtown Plymouth, Michigan.
-
D.
Ackerman Park
Ackerman Park is a public recreational park in Glen Ellyn, Illinois, featuring sports facilities, open green spaces, and community amenities.
-
E.
Comiskey Park
Comiskey Park was a historic Major League Baseball stadium in Chicago that served as the longtime home of the Chicago White Sox.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87731c1c81909a4dc865282bd289 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3388c10481908235da34ef509d37 |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:04 p.m.