Triple
T2828397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division I women's lacrosse |
E54977
|
entity |
| Predicate | stickType |
P42717
|
FINISHED |
| Object | women's lacrosse stick |
—
|
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: women's lacrosse stick | Statement: [NCAA Division I women's lacrosse, stickType, women's lacrosse stick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stickType Context triple: [NCAA Division I women's lacrosse, stickType, women's lacrosse stick]
-
A.
kitType
Indicates the specific category or configuration of a kit associated with an entity or activity.
-
B.
stemType
Indicates the type or form of a stem that an entity possesses or is characterized by.
-
C.
ridgeType
Indicates the specific morphological or structural category that a ridge belongs to within a classification of ridge forms.
-
D.
spinType
Indicates the specific kind or category of spin associated with an entity, such as its spin state, mode, or configuration.
-
E.
spurType
Indicates the specific kind or category of spur associated with or used by an entity.
- 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_69abde97168c8190b31122b2ad9fdebf |
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.