Triple
T32836465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Techirghiol |
E839844
|
entity |
| Predicate | lakeNameEtymology |
P175159
|
FINISHED |
| Object | derived from Turkish Tekirgöl |
—
|
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: derived from Turkish Tekirgöl | Statement: [Techirghiol, lakeNameEtymology, derived from Turkish Tekirgöl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lakeNameEtymology Context triple: [Techirghiol, lakeNameEtymology, derived from Turkish Tekirgöl]
-
A.
reservoirNameEtymology
Indicates the origin or source of a reservoir’s name, such as the historical, cultural, or linguistic reason it was given that name.
-
B.
lakeAlternateName
Indicates that a lake is known by an alternative or additional name.
-
C.
seaNameEtymology
Indicates the origin or derivation of the name given to a particular sea.
-
D.
lakeOrigin
Indicates that a lake originates from, is formed by, or has its source in a specified geographic or hydrological feature.
-
E.
waterfallNameEtymology
Indicates the origin or reasoning behind the name given to a particular waterfall.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6ce6c76bc8190b865343d3f5810c9 |
completed | May 3, 2026, 4:26 a.m. |
Created at: May 1, 2026, 1:16 a.m.