Triple
T8876954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jubayl |
E211309
|
entity |
| Predicate | distanceToBeirut |
P28969
|
FINISHED |
| Object | about 40 km north |
—
|
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 40 km north | Statement: [Jubayl, distanceToBeirut, about 40 km north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBeirut Context triple: [Jubayl, distanceToBeirut, about 40 km north]
-
A.
distanceFromBeirut
chosen
Indicates the measured spatial distance between a given entity’s location and the city of Beirut.
-
B.
distanceToLebanonBorder
Indicates the measured or estimated spatial distance between a given location and the border of Lebanon.
-
C.
distanceToTunis
Indicates the spatial distance between a given entity’s location and the city of Tunis.
-
D.
distanceFromSyriaBorder
Indicates the measured spatial separation between a location and the nearest point on Syria’s national border.
-
E.
distanceToTripoli_km
Indicates the physical distance, measured in kilometers, between a given location and the city of Tripoli.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61472cc081909e51b4a35a20ef43 |
completed | April 1, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:52 p.m.