Triple
T37291861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Cataldo |
E925685
|
entity |
| Predicate | drinkingWaterStandardCountry |
P187709
|
FINISHED |
| Object | Italy |
—
|
NE NERFINISHED |
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: Italy | Statement: [San Cataldo, drinkingWaterStandardCountry, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drinkingWaterStandardCountry Context triple: [San Cataldo, drinkingWaterStandardCountry, Italy]
-
A.
drinkingWaterStandard
Indicates that something meets an established quality or safety standard for drinking water.
-
B.
drinkingWaterStandardAuthority
Indicates that an entity has official authority or responsibility for setting or enforcing standards related to drinking water.
-
C.
drinkingWaterBeneficiaryState
Indicates the state or condition experienced by an entity that benefits from receiving drinking water.
-
D.
hasWaterQualityDesignation
Indicates that an entity has been assigned a specific official classification or status regarding its water quality.
-
E.
waterContains
Indicates that a body or volume of water holds, includes, or has within it a specified substance, object, or entity.
- 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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb78c982ac8190846efe8f6209e5d1 |
completed | May 6, 2026, 5:22 p.m. |
Created at: May 3, 2026, 4:16 p.m.