Triple
T16271469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nant Cwm Colhuw |
E395008
|
entity |
| Predicate | toponymLanguageMeaning |
P74345
|
FINISHED |
| Object | "Nant" means "stream" in Welsh |
—
|
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: "Nant" means "stream" in Welsh | Statement: [Nant Cwm Colhuw, toponymLanguageMeaning, "Nant" means "stream" in Welsh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toponymLanguageMeaning Context triple: [Nant Cwm Colhuw, toponymLanguageMeaning, "Nant" means "stream" in Welsh]
-
A.
toponymLiteralMeaning
chosen
Indicates the literal or etymological meaning of a place name (toponym), describing what the name directly translates to or signifies.
-
B.
toponymRefersTo
Indicates that a place name (toponym) designates or refers to a specific geographic entity or location.
-
C.
hasLanguageOfToponym
Indicates that a place name (toponym) is expressed in or associated with a particular language.
-
D.
influenceOnToponymy
Indicates that one entity has affected or shaped the naming, form, or development of place names associated with another entity.
-
E.
toponymicFunction
Indicates that one entity functions as a place-related name or designation for another entity, typically identifying or characterizing it by a geographic location.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e246099dd081908e268a1a0cf8a373 |
completed | April 17, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:05 a.m.