Triple
T36354313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neskowin Ghost Forest |
E895296
|
entity |
| Predicate | numberOfVisibleStumps |
P204839
|
FINISHED |
| Object | dozens |
—
|
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: dozens | Statement: [Neskowin Ghost Forest, numberOfVisibleStumps, dozens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVisibleStumps Context triple: [Neskowin Ghost Forest, numberOfVisibleStumps, dozens]
-
A.
testStumpings
Indicates that one entity records or evaluates the number or details of stumpings (a form of dismissal by the wicketkeeper) associated with another entity in a cricket context.
-
B.
numberOfKnockdowns
Indicates the count of times an entity has been knocked down during a specified event or interaction.
-
C.
numberOfStrikers
Indicates the quantity of entities that are acting as strikers in a given context or situation.
-
D.
numberOfOffFieldUmpires
Indicates the count of umpires assigned to officiate a game from positions off the field of play.
-
E.
odiStumpings
Indicates the number of times a wicketkeeper has dismissed a batter by stumping in One Day International (ODI) cricket.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:09 p.m.