Triple
T13987218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electrical Water Pageant (viewing area) |
E336470
|
entity |
| Predicate | viewingMedium |
P56966
|
FINISHED |
| Object | lagoon surface |
—
|
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: lagoon surface | Statement: [Electrical Water Pageant (viewing area), viewingMedium, lagoon surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewingMedium Context triple: [Electrical Water Pageant (viewing area), viewingMedium, lagoon surface]
-
A.
visualMedium
Indicates that one entity serves as the visual medium or format through which another entity is presented, communicated, or experienced.
-
B.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
-
C.
viewingMethod
Indicates the manner or technique by which something is observed, displayed, or visually accessed.
-
D.
mediumSupport
Indicates that one entity provides a moderate or intermediate level of support or assistance to another entity.
-
E.
targetMedium
chosen
Indicates the medium or channel through which an action, message, or effect is directed or intended to be delivered.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea537408190bb9d35963886803f |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.