Triple
T11264249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moynaq |
E266642
|
entity |
| Predicate | distanceFromCurrentAralSeaShoreline |
P98812
|
FINISHED |
| Object | dozens of kilometers |
—
|
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: dozens of kilometers | Statement: [Moynaq, distanceFromCurrentAralSeaShoreline, dozens of kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromCurrentAralSeaShoreline Context triple: [Moynaq, distanceFromCurrentAralSeaShoreline, dozens of kilometers]
-
A.
distanceFromCoast
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
B.
distanceToBlackSea
Indicates the measured spatial distance between a given entity and the Black Sea.
-
C.
distanceFromArcticOcean
Indicates the measured spatial distance between a given entity and the Arctic Ocean.
-
D.
distanceToDeadSea
Indicates the spatial distance between a given entity and the Dead Sea.
-
E.
distanceFromSyriaBorder
Indicates the measured spatial separation between a location and the nearest point on Syria’s national border.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94d56048190bf808e1bc2188714 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:31 p.m.