Triple
T8053404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiumelatte |
E187730
|
entity |
| Predicate | riverColorDescription |
P13022
|
FINISHED |
| Object | milk-colored |
—
|
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: milk-colored | Statement: [Fiumelatte, riverColorDescription, milk-colored]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverColorDescription Context triple: [Fiumelatte, riverColorDescription, milk-colored]
-
A.
waterColor
Indicates that one entity is the color or hue characteristic of water associated with another entity.
-
B.
hasWaterColor
chosen
Indicates that an entity possesses or is characterized by a particular color of water.
-
C.
riverPhenomenon
Indicates a natural event, condition, or process that occurs in or directly affects a river.
-
D.
riverSystem
Indicates that one entity is a river system to which the other entity belongs or is a component (such as a tributary or segment).
-
E.
mouthOfTheWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f7c425c8190aa1b2f534afeb58c |
completed | March 31, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69cb049a1b9c8190811c396421ebf9c9 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:25 p.m.