Triple
T35301081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic Weekend |
E1019505
|
entity |
| Predicate | locationFormat |
P206918
|
FINISHED |
| Object | single stadium |
—
|
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: single stadium | Statement: [Magic Weekend, locationFormat, single stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationFormat Context triple: [Magic Weekend, locationFormat, single stadium]
-
A.
addressFormat
Indicates the standardized structure or pattern in which an address’s components are arranged and written.
-
B.
locationFormed
Indicates the place or geographic area where an entity (such as an organization, group, or structure) was originally established or came into existence.
-
C.
districtFormat
Indicates the specific structural or organizational format in which a district is defined, represented, or administered.
-
D.
coordinateFormat
Indicates the specific representation or notation used to express a set of coordinates.
-
E.
countrySpecificFormat
Indicates that something follows a format or structure that is specific to, and varies by, a particular country.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.