Triple
T37539175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serpentshrine Cavern |
E933281
|
entity |
| Predicate | waterControlFunction |
P130170
|
FINISHED |
| Object | regulates water in Zangarmarsh |
—
|
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: regulates water in Zangarmarsh | Statement: [Serpentshrine Cavern, waterControlFunction, regulates water in Zangarmarsh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterControlFunction Context triple: [Serpentshrine Cavern, waterControlFunction, regulates water in Zangarmarsh]
-
A.
waterFunction
Indicates that one entity serves a particular role, purpose, or function in relation to water (e.g., how it uses, manages, affects, or interacts with water).
-
B.
controlsWaterLevelOf
chosen
Indicates that one entity has the ability or authority to regulate or adjust the water level of another entity or system.
-
C.
waterInput
Indicates that an entity receives or is supplied with water from another source or system.
-
D.
managesWaterFrom
Indicates that one entity is responsible for controlling, directing, or handling water originating from another entity.
-
E.
waterUser
Indicates a relationship where one entity uses or consumes water provided or managed by another entity.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
Created at: May 3, 2026, 4:17 p.m.