Triple
T37664221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ocean Temple |
E937784
|
entity |
| Predicate | generatesWith |
P26394
|
FINISHED |
| Object | surrounding water |
—
|
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: surrounding water | Statement: [Ocean Temple, generatesWith, surrounding water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generatesWith Context triple: [Ocean Temple, generatesWith, surrounding water]
-
A.
canGenerateOn
Indicates that one entity has the capability to produce or create another entity specifically on or within a particular medium, platform, or context.
-
B.
generators
chosen
Indicates that one entity produces, creates, or brings about another entity or outcome, typically as its source or origin.
-
C.
generationMethod
Indicates the process, technique, or procedure by which something is created, produced, or derived.
-
D.
hasGenera
Indicates a taxonomic relationship in which a higher-level group (such as a family or subfamily) includes one or more genera as its subordinate members.
-
E.
producesFor
Indicates that one entity creates, manufactures, or generates something specifically intended for another entity’s use, benefit, or distribution.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 3, 2026, 4:18 p.m.