Triple
T18100326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Hussein Bridge |
E433195
|
entity |
| Predicate | nearbyLocalityOnWestBankSide |
P88901
|
FINISHED |
| Object | Jericho area |
—
|
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: Jericho area | Statement: [King Hussein Bridge, nearbyLocalityOnWestBankSide, Jericho area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyLocalityOnWestBankSide Context triple: [King Hussein Bridge, nearbyLocalityOnWestBankSide, Jericho area]
-
A.
hasNearbyArabLocality
chosen
Indicates that one entity has an Arab locality situated in close geographic proximity to it.
-
B.
nearbyIsraeliSettlement
Indicates that one entity is located close in distance to an Israeli settlement.
-
C.
regionOnWestBank
Indicates that one region is located on the western bank of another geographic feature, such as a river or body of water.
-
D.
distanceFromJerusalem
Indicates the spatial distance between a given location and Jerusalem.
-
E.
countryOnWestBank
Indicates that one entity is a country located on the western bank or side of a specified geographic feature, such as a river or body of water.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb5e6208190b3c3cce3b95d66ad |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.