Triple
T7170359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zliten |
E167178
|
entity |
| Predicate | distanceToTripoli_km |
P74519
|
FINISHED |
| Object | about 160 |
—
|
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: about 160 | Statement: [Zliten, distanceToTripoli_km, about 160]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTripoli_km Context triple: [Zliten, distanceToTripoli_km, about 160]
-
A.
distanceToTunis
Indicates the spatial distance between a given entity’s location and the city of Tunis.
-
B.
distanceFromBeirut
Indicates the measured spatial distance between a given entity’s location and the city of Beirut.
-
C.
distanceFromSyriaBorder
Indicates the measured spatial separation between a location and the nearest point on Syria’s national border.
-
D.
distanceToTirana_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Tirana.
-
E.
distanceFromSanaa
Indicates the spatial distance between an entity and the location of Sanaa.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85d8f208190915f6f4c05988b63 |
completed | March 27, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69c6e1ce5f048190808c378a980f7bb6 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e24af9ac8190b24eee206ba8be36 |
completed | March 27, 2026, 8:02 p.m. |
Created at: March 27, 2026, 2:48 p.m.