Triple
T24337520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Draco (river) |
E613419
|
entity |
| Predicate | mouthCountryModern |
P155762
|
FINISHED |
| Object | Turkey |
—
|
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: Turkey | Statement: [Draco (river), mouthCountryModern, Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mouthCountryModern Context triple: [Draco (river), mouthCountryModern, Turkey]
-
A.
homeCountryModern
Indicates that one entity is the modern-day country that serves as the home or origin country of the other entity.
-
B.
mouthNear
Indicates that one entity’s mouth is positioned close to another entity or object in space.
-
C.
mouthState
Indicates the current condition or configuration of an entity’s mouth, such as whether it is open, closed, or in another specific state.
-
D.
mouth
Indicates that one entity is the mouth (oral opening) of another entity, typically serving as the location for ingestion, speech, or related functions.
-
E.
fromMouth
Indicates that something originates from or is emitted out of a mouth.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293212a0881908da028e81d26247d |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:57 a.m.