Triple
T29991092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spear (professional wrestling) |
E761880
|
entity |
| Predicate | primaryTargetArea |
P10883
|
FINISHED |
| Object | midsection |
—
|
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: midsection | Statement: [Spear (professional wrestling), primaryTargetArea, midsection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTargetArea Context triple: [Spear (professional wrestling), primaryTargetArea, midsection]
-
A.
primaryTarget
Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
-
B.
primaryArea
Indicates that one entity is the main or most important area, domain, or field associated with another entity.
-
C.
targetArea
chosen
Indicates the specific area or region that is the intended focus or destination of an action or effect.
-
D.
primaryTargetType
Indicates the main category or type of entity that is the principal focus or intended recipient of an action, effect, or operation.
-
E.
primarySourceArea
Indicates that something originates from, or is chiefly derived from, a specified source area.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a01bb9c33cc8190a95ba124d97edf99 |
completed | May 11, 2026, 11:21 a.m. |
| PD | Predicate disambiguation | batch_6a01bb6772148190a243d1141ad0a237 |
completed | May 11, 2026, 11:20 a.m. |
Created at: April 29, 2026, 6:38 p.m.