Triple
T6473312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutba |
E146007
|
entity |
| Predicate | distanceFromJordanBorder |
P71004
|
FINISHED |
| Object | approximately 150 km east of Jordan border |
—
|
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 150 km east of Jordan border | Statement: [Rutba, distanceFromJordanBorder, approximately 150 km east of Jordan border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromJordanBorder Context triple: [Rutba, distanceFromJordanBorder, approximately 150 km east of Jordan border]
-
A.
distanceToAqaba
Indicates the spatial distance between a given location and the city of Aqaba.
-
B.
distanceFromJerusalem
Indicates the spatial distance between a given location and Jerusalem.
-
C.
distanceFromJericho
Indicates the spatial distance separating an entity from the location of Jericho.
-
D.
distanceFromTelAviv_km
Indicates the physical distance, measured in kilometers, between a given place and Tel Aviv.
-
E.
distanceToDeadSea
Indicates the spatial distance between a given entity and the Dead Sea.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a32c0188190bcb3c35fc1d796a6 |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673d46a08190bc8bcd29f9555fe7 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c067da970481908a038995ba7dfb4b |
completed | March 22, 2026, 10:06 p.m. |
Created at: March 22, 2026, 4:50 p.m.