Triple
T37240497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magallanes–Austral Basin |
E923697
|
entity |
| Predicate | containsPlayType |
P203485
|
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: [Magallanes–Austral Basin, containsPlayType, structural traps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsPlayType Context triple: [Magallanes–Austral Basin, containsPlayType, structural traps]
-
A.
hasPlayType
Indicates the type or category of play associated with an event, action, or performance.
-
B.
playType
Indicates the specific category or style of play or performance associated with an event or action.
-
C.
hasGameType
Indicates that an entity (such as a game or match) is associated with a specific category or type of game.
-
D.
notablePlayType
Indicates that a particular type or category of play is especially significant or characteristic for the subject.
-
E.
hasPlayPattern
Indicates a characteristic way or style in which an entity typically plays, behaves, or performs an activity.
- 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_69f76ea9fee88190a589f661d95a7189 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a018f9c7cf88190adc5daf3806f2077 |
completed | May 11, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_6a018ca4e0e481908091f0c1f8a4c31b |
completed | May 11, 2026, 8 a.m. |
| PDg | Predicate description generation | batch_6a018f9bd91c8190980967b4eef78a58 |
completed | May 11, 2026, 8:13 a.m. |
Created at: May 3, 2026, 4:15 p.m.