Triple
T5392341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CityPark campus |
E120360
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | CITYPARK |
E34302
|
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: CITYPARK | Statement: [CityPark campus, namedAfter, CITYPARK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CITYPARK Context triple: [CityPark campus, namedAfter, CITYPARK]
-
A.
CITYPARK
chosen
CITYPARK is a modern, soccer-specific stadium in downtown St. Louis that serves as the home of Major League Soccer club St. Louis City SC.
-
B.
CityPark
CityPark is a modern soccer-specific stadium in downtown St. Louis that serves as the home of Major League Soccer club St. Louis City SC.
-
C.
Cellucci Park
Cellucci Park is a public recreational area located in the town of Hudson, Massachusetts.
-
D.
City Park
City Park was the original name of Balboa Park, a large historic urban cultural park in San Diego, California.
-
E.
City Park
City Park is a public recreational park located in Salisbury, North Carolina, offering outdoor green space and amenities for community activities and leisure.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd8719ff04819089e3a90f90b5e3fc |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf411d608c8190a672e336e6f3954d |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 2:04 p.m.