Triple
T17066046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yafran |
E414090
|
entity |
| Predicate | distanceToTripoli |
P74519
|
FINISHED |
| Object | roughly 100–130 km southwest |
—
|
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: roughly 100–130 km southwest | Statement: [Yafran, distanceToTripoli, roughly 100–130 km southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTripoli Context triple: [Yafran, distanceToTripoli, roughly 100–130 km southwest]
-
A.
distanceToTripoli_km
chosen
Indicates the physical distance, measured in kilometers, between a given location and the city of Tripoli.
-
B.
distanceToMisrata_km
Indicates the physical distance, measured in kilometers, between a given location and Misrata.
-
C.
distanceToAleppo
Indicates the spatial distance between a given entity and the location of Aleppo.
-
D.
alternativeAirportForTripoli
Indicates that an airport serves as an alternative or backup airport for flights or operations associated with Tripoli.
-
E.
distanceToTunis
Indicates the spatial distance between a given entity’s location and the city of Tunis.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db8171348190ab68d2e4f05f7120 |
completed | April 18, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.