Triple
T26649798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuaspring Desalination Plant |
E669018
|
entity |
| Predicate | hasProductQuality |
P50251
|
FINISHED |
| Object | meets Singapore drinking water standards |
—
|
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: meets Singapore drinking water standards | Statement: [Tuaspring Desalination Plant, hasProductQuality, meets Singapore drinking water standards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductQuality Context triple: [Tuaspring Desalination Plant, hasProductQuality, meets Singapore drinking water standards]
-
A.
hasQualityControl
Indicates that an entity is subject to processes or measures designed to monitor, verify, and maintain the quality of its outputs or operations.
-
B.
hasProduct
Indicates that an entity possesses, offers, or is associated with a particular product.
-
C.
hasQualityModel
Indicates that an entity is associated with or characterized by a specific quality model.
-
D.
hasSurfaceQuality
Indicates that one entity possesses a particular characteristic or condition of its surface.
-
E.
hasQualityCriterion
chosen
Indicates that something is associated with a specific standard or criterion used to judge its quality.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: April 27, 2026, 2:32 a.m.