Triple
T30975686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playa de La Mata |
E789223
|
entity |
| Predicate | hasWaterQualityStandard |
P108980
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Playa de La Mata, hasWaterQualityStandard, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterQualityStandard Context triple: [Playa de La Mata, hasWaterQualityStandard, high]
-
A.
hasWaterQualityDesignation
chosen
Indicates that an entity has been assigned a specific official classification or status regarding its water quality.
-
B.
drinkingWaterStandard
Indicates that something meets an established quality or safety standard for drinking water.
-
C.
drinkingWaterStandardAuthority
Indicates that an entity has official authority or responsibility for setting or enforcing standards related to drinking water.
-
D.
hasWaterQualityProgram
Indicates that an entity implements or participates in a program aimed at monitoring, managing, or improving water quality.
-
E.
hasWaterQualityHistory
Indicates that an entity is associated with a record or series of records describing changes or measurements of its water quality over time.
- 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_69f224c4831c8190be53924ec25a150a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 29, 2026, 8:55 p.m.