Triple
T9760298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monster Park |
E236650
|
entity |
| Predicate | namingRightsControversy |
P90857
|
FINISHED |
| Object | name was unpopular with many local fans |
—
|
LITERAL 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: name was unpopular with many local fans | Statement: [Monster Park, namingRightsControversy, name was unpopular with many local fans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namingRightsControversy Context triple: [Monster Park, namingRightsControversy, name was unpopular with many local fans]
-
A.
namingRightsDealAnnounced
Indicates that an agreement granting naming rights to a property, venue, event, or asset has been formally announced.
-
B.
namingRightsReplaced
Indicates that one entity’s naming rights to something have been superseded or taken over by another entity’s naming rights.
-
C.
namingRightsBrand
Indicates that a brand holds the official naming rights for a venue, event, or property.
-
D.
namingRightsEndYear
Indicates the calendar year in which an entity’s contractual right to have its name associated with another entity (e.g., a venue, event, or asset) expires.
-
E.
namingRightsHolder
Indicates which entity holds the official right to name or brand another entity (such as a venue, event, or asset).
- F. None of above. chosen
Provenance (4 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda049995c81908569ec61805642b2 |
completed | April 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd081a9c5c819093439be7e802ff85 |
completed | April 1, 2026, 11:57 a.m. |
Created at: March 30, 2026, 8:25 p.m.