Triple
T13664704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meriç |
E327085
|
entity |
| Predicate | hasCrossings |
P50696
|
FINISHED |
| Object | international bridges between Greece and Turkey |
—
|
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: international bridges between Greece and Turkey | Statement: [Meriç, hasCrossings, international bridges between Greece and Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrossings Context triple: [Meriç, hasCrossings, international bridges between Greece and Turkey]
-
A.
hadCrossingPoints
Indicates that two entities intersected or overlapped at one or more specific points in space or time.
-
B.
hasCrossingPoint
chosen
Indicates that two or more entities intersect or share at least one common point in space or along their paths.
-
C.
hasNumberOfCrosses
Indicates the quantity of crosses associated with or present on a given entity.
-
D.
hasCross
Indicates that one entity possesses, displays, or is marked by a cross in relation to another entity or context.
-
E.
hasAlternativeCrossing
Indicates that there exists another available crossing option that can be used instead of the primary one.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc622a07c81909ef7fb55e719dd9a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.