Triple
T3580340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guillermo Coria |
E75783
|
entity |
| Predicate | playingSurfaceSpecialty |
P16157
|
FINISHED |
| Object | clay |
—
|
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: clay | Statement: [Guillermo Coria, playingSurfaceSpecialty, clay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playingSurfaceSpecialty Context triple: [Guillermo Coria, playingSurfaceSpecialty, clay]
-
A.
playsOnSurface
chosen
Indicates that an entity performs or engages in an activity while being in contact with or supported by a particular surface.
-
B.
playsOn
Indicates that one entity participates or performs on a particular team, platform, or medium.
-
C.
playType
Indicates the specific category or style of play or performance associated with an event or action.
-
D.
surfaceGame3And4
Indicates that something is associated with or applies to both game 3 and game 4 within a given context.
-
E.
hasSpecialGames
Indicates that an entity is associated with particular games that are distinguished from its regular or standard games in some special way.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0ffecdc8190bf01c8ba90e3733e |
completed | March 8, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69adb83810c481909c645c08b978edc1 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.