Triple
T9054221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zawia |
E216956
|
entity |
| Predicate | distanceFromTripoli |
P74519
|
FINISHED |
| Object | approximately 45 km |
—
|
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: approximately 45 km | Statement: [Zawia, distanceFromTripoli, approximately 45 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTripoli Context triple: [Zawia, distanceFromTripoli, approximately 45 km]
-
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.
distanceToTunis
Indicates the spatial distance between a given entity’s location and the city of Tunis.
-
D.
distanceFromBeirut
Indicates the measured spatial distance between a given entity’s location and the city of Beirut.
-
E.
distanceFromSanaa
Indicates the spatial distance between an entity and the location of Sanaa.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a72e2dc8190a16deff8abe701b1 |
completed | April 1, 2026, 1:52 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee6d83c819095d8ed0779aa8511 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.