Triple
T20881016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giglio |
E514146
|
entity |
| Predicate | hasClearWaters |
P15328
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Giglio, hasClearWaters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClearWaters Context triple: [Giglio, hasClearWaters, true]
-
A.
hasWaterClarity
chosen
Indicates the degree to which water in a given context is clear, transparent, or free from visible impurities.
-
B.
hasWaterCharacteristics
Indicates that one entity possesses qualities, properties, or behaviors characteristic of water.
-
C.
hasWaterFeatures
Indicates that an entity includes or is associated with water-related elements such as fountains, ponds, streams, or similar features.
-
D.
hasProtectedWatershed
Indicates that an entity possesses or is associated with a watershed area that is legally or formally protected for conservation or resource management purposes.
-
E.
hasFreshwaterSection
Indicates that an entity includes or contains a distinct section or area composed of freshwater.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67974348190bd3484032c0d7b31 |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:46 p.m.