Triple
T28137609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dnieper‑Donets Basin |
E714251
|
entity |
| Predicate | majorPlayType |
P83833
|
FINISHED |
| Object | structural traps |
—
|
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: structural traps | Statement: [Dnieper‑Donets Basin, majorPlayType, structural traps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorPlayType Context triple: [Dnieper‑Donets Basin, majorPlayType, structural traps]
-
A.
playType
Indicates the specific category or style of play or performance associated with an event or action.
-
B.
hasPlayType
chosen
Indicates the type or category of play associated with an event, action, or performance.
-
C.
playableMode
Indicates that a particular mode, configuration, or state can be actively used or played within a system or application.
-
D.
playable
Indicates that an entity can be used or performed as a game, media, or activity in its intended interactive or functional form.
-
E.
primaryGameType
Indicates the main category or type of game with which an entity is primarily associated.
- 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 27, 2026, 9:51 p.m.