Triple
T33806395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plug Pond |
E866401
|
entity |
| Predicate | hasLocalNameType |
P197677
|
FINISHED |
| Object | pond despite being a small lake |
—
|
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: pond despite being a small lake | Statement: [Plug Pond, hasLocalNameType, pond despite being a small lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalNameType Context triple: [Plug Pond, hasLocalNameType, pond despite being a small lake]
-
A.
hasLocalName
Indicates that an entity is known by a specific name or designation within a particular local language, script, or regional context.
-
B.
hasLocalNameFor
Indicates that one entity serves as the local or context-specific name or label used to refer to another entity.
-
C.
hasLocalNameOrigin
Indicates that the local or commonly used name of an entity originates from, or is derived from, a specified source (such as a language, place, or culture).
-
D.
mayHaveLocalName
Indicates that an entity can optionally be associated with a locally used or context-specific name.
-
E.
hasNameElementType
Indicates that something includes a specific type or category of element within its name.
- 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fea1f5d8c481908dc3351dc9ecef7f |
completed | May 9, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69fea06b6fe0819095bf4c1bc9809927 |
completed | May 9, 2026, 2:48 a.m. |
| PDg | Predicate description generation | batch_69fea1f4daa88190bd3cc1ace684e77f |
completed | May 9, 2026, 2:54 a.m. |
Created at: May 1, 2026, 1:46 a.m.