Triple
T34691342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playa de los Peligros |
E890902
|
entity |
| Predicate | hasWaterEntry |
P185691
|
FINISHED |
| Object | gentle slope |
—
|
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: gentle slope | Statement: [Playa de los Peligros, hasWaterEntry, gentle slope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterEntry Context triple: [Playa de los Peligros, hasWaterEntry, gentle slope]
-
A.
hasWaterColumn
Indicates that one entity possesses or is associated with a specific vertical section of water (a water column).
-
B.
hasWaterFunction
Indicates that an entity performs, provides, or is associated with a specific function or role related to water.
-
C.
hasWaterChannel
Indicates that one entity possesses or contains a channel or conduit through which water flows or is transported.
-
D.
hasWaterActivity
Indicates that one entity possesses, exhibits, or is characterized by a particular level or type of water-related activity (such as moisture content, water availability, or water-based processes).
-
E.
hasWaterControlRole
Indicates that an entity holds a role or responsibility related to managing, regulating, or overseeing water resources or water systems.
- 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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7c33d59808190b647989a093f3488 |
completed | May 3, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c29cf36481908e472d4dcb5573b9 |
completed | May 3, 2026, 9:48 p.m. |
Created at: May 1, 2026, 2:05 a.m.