Triple
T33911488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MS804 |
E869325
|
entity |
| Predicate | flightPathSegment |
P10707
|
FINISHED |
| Object | eastern Mediterranean Sea |
—
|
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: eastern Mediterranean Sea | Statement: [MS804, flightPathSegment, eastern Mediterranean Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flightPathSegment Context triple: [MS804, flightPathSegment, eastern Mediterranean Sea]
-
A.
trackSegment
Indicates a specific portion or section of a larger track or route that is treated as a distinct segment.
-
B.
transportSegment
Indicates a distinct portion of a larger journey or route during which something or someone is transported from one point to another.
-
C.
routeSegment
Indicates a specific portion of a larger route that directly connects two points or locations within that route.
-
D.
flightRoute
chosen
Indicates a path or sequence of locations that a particular flight travels between, typically from its origin to its destination (and possibly via intermediate stops).
-
E.
routeAlong
Indicates that one entity follows, runs parallel to, or is situated along the course or path defined by another entity.
- 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_69f3499869bc8190b6c33a81686af226 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:48 a.m.