Triple
T503987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine Road |
E10460
|
entity |
| Predicate | hostedEventType |
P7504
|
FINISHED |
| Object | football match |
—
|
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: football match | Statement: [Maine Road, hostedEventType, football match]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedEventType Context triple: [Maine Road, hostedEventType, football match]
-
A.
typeOfEvent
chosen
Indicates that one entity is classified as a specific kind or category of event.
-
B.
hostsEvent
Indicates that an entity organizes and provides the venue or setting for an event to take place.
-
C.
typeOfEventForStart
Indicates the specific kind or category of event that marks the beginning of something.
-
D.
hosted
Indicates that one entity organized and provided the venue or platform for an event, activity, or presence involving another entity.
-
E.
sportsEventHosted
Indicates that a particular sports event was organized, arranged, or held by a specified host entity (such as a venue, organization, or city).
- F. None of above.
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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f149bd1c81908ff58ac504ace2bf |
completed | Feb. 28, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69a2edfbb7e0819092cf29c2c68fe8fb |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.