Triple
T9601713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | softball |
E231864
|
entity |
| Predicate | hasDefensivePositions |
P89170
|
FINISHED |
| Object | pitcher |
—
|
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: pitcher | Statement: [softball, hasDefensivePositions, pitcher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDefensivePositions Context triple: [softball, hasDefensivePositions, pitcher]
-
A.
hasDefensiveWork
Indicates that an entity possesses or is associated with a work focused on defense or protective functions.
-
B.
canBeDefendedIn
Indicates that something (such as a claim, action, or position) is capable of being justified or supported within a specified context, forum, or framework.
-
C.
hasNumberOfDefencemen
Indicates the relationship that specifies how many defencemen are associated with or assigned to a given entity.
-
D.
hasDefenseStrategy
Indicates that an entity employs or is associated with a particular plan or set of measures designed to protect against threats or attacks.
-
E.
defensiveStructure
Indicates a relationship where one entity functions as a structure built or used to protect, defend, or fortify another entity or area.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a3a49608190ad1f65195e4d5cda |
completed | April 1, 2026, 10:20 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a359788190b24f82399489f7fe |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:07 p.m.