Triple
T2826441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fenway station |
E54933
|
entity |
| Predicate | eventUsage |
P42697
|
FINISHED |
| Object | access for Boston Red Sox games |
—
|
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: access for Boston Red Sox games | Statement: [Fenway station, eventUsage, access for Boston Red Sox games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventUsage Context triple: [Fenway station, eventUsage, access for Boston Red Sox games]
-
A.
eventUse
Indicates that an event involves the use or utilization of a particular entity (e.g., a resource, tool, or method) as part of its occurrence.
-
B.
trackUsage
Indicates that one entity monitors and records how another entity or resource is being used over time.
-
C.
featuresEvent
Indicates that an entity includes, presents, or highlights a particular event as part of its content or offering.
-
D.
eventIn
Indicates that an event occurs within, or is situated in, a specific location, context, or larger event.
-
E.
eventName
Indicates the specific label or title assigned to identify an event within a system or context.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde94ba848190b2c990936e07e6bb |
completed | March 7, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddccd50c8190a975942f46cfc01f |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 9:59 p.m.