Triple
T6224901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cell |
E139204
|
entity |
| Predicate | hasFanArea |
P13691
|
FINISHED |
| Object | outfield concourse |
—
|
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: outfield concourse | Statement: [The Cell, hasFanArea, outfield concourse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanArea Context triple: [The Cell, hasFanArea, outfield concourse]
-
A.
hasFan
Indicates that an entity is the admirer, supporter, or enthusiast of another entity.
-
B.
hasAreaRange
Indicates that something’s area falls within a specified minimum-to-maximum range.
-
C.
hasPortArea
Indicates that an entity possesses or is associated with a specific port area, typically representing the spatial extent or boundary of its port facilities.
-
D.
hasFanActivity
Indicates that an entity is associated with actions, behaviors, or engagement carried out by fans in relation to it.
-
E.
hasSpectatorArea
chosen
Indicates that a location or facility includes a designated area intended for spectators to observe an event or activity.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062c214c48190b94e7f904e2bf699 |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:22 p.m.