Triple
T26099641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter May Stand |
E658359
|
entity |
| Predicate | isAStandAt |
P135444
|
FINISHED |
| Object | The Oval |
—
|
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: The Oval | Statement: [Peter May Stand, isAStandAt, The Oval]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAStandAt Context triple: [Peter May Stand, isAStandAt, The Oval]
-
A.
isStandOf
Indicates that one entity serves as the Stand (a supernatural or personified power) belonging to or associated with another entity.
-
B.
isNamedStandAt
Indicates that a stand (e.g., a booth, stall, or display) is located at and identified by a specific name at a given place or position.
-
C.
standsAt
chosen
Indicates that one entity is positioned upright at or near a specific location or reference point associated with another entity.
-
D.
isStandingBody
Indicates that a body or entity is in an upright, standing posture rather than sitting, lying, or moving.
-
E.
isEndStand
Indicates that something functions as the final or terminating stand, station, or stopping point in a sequence or route.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f607394b6881909bcf1a6871359541 |
completed | May 2, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:53 p.m.