Triple
T23940694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | guzheng |
E602772
|
entity |
| Predicate | typicalPlayingPosition |
P154438
|
FINISHED |
| Object | horizontal |
—
|
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: horizontal | Statement: [guzheng, typicalPlayingPosition, horizontal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPlayingPosition Context triple: [guzheng, typicalPlayingPosition, horizontal]
-
A.
playingPosition
Indicates the specific role or position an individual occupies while participating in a game or sport.
-
B.
typicalPositionType
Indicates the usual or most common positional role or placement type that an entity generally occupies or is associated with.
-
C.
playsInPosition
Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
-
D.
typicalPositioning
Indicates the usual or characteristic spatial arrangement or placement of one entity relative to another or within a given context.
-
E.
typicalBalancingPositions
Indicates the standard or commonly used positions in which elements are arranged or adjusted to achieve balance or equilibrium in a given context.
- 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_69e2953cf6e081909b8e25a10a52dddc |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d02a1b308190a2d101774b455417 |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:09 p.m.