Triple
T23769726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detroit |
E587490
|
entity |
| Predicate | hostsVenue |
P153883
|
FINISHED |
| Object | Ford Field |
—
|
NE NERFINISHED |
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: Ford Field | Statement: [Detroit, hostsVenue, Ford Field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostsVenue Context triple: [Detroit, hostsVenue, Ford Field]
-
A.
hostVenueInstanceOf
Indicates that a specific host venue is an instance or concrete realization of a more general venue type or category.
-
B.
hostsEvent
Indicates that an entity organizes and provides the venue or setting for an event to take place.
-
C.
venue
Indicates the place or location where an event, activity, or interaction takes place.
-
D.
homeVenueCountry
Indicates the country in which an entity’s primary or home venue is located.
-
E.
homeVenueOfSupportersOf
Indicates that a location serves as the primary gathering place or base for the supporters of a particular entity (such as a team, organization, or individual).
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c46507708190b0beba7f2b4d0bca |
completed | April 29, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15ed138f88190a8ae555422978908 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 17, 2026, 7:15 p.m.