Triple
T5474596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tell es-Sultan |
E122917
|
entity |
| Predicate | distanceFromModernJerichoCenter |
P25211
|
FINISHED |
| Object | about 2 kilometres 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 2 kilometres north | Statement: [Tell es-Sultan, distanceFromModernJerichoCenter, about 2 kilometres north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromModernJerichoCenter Context triple: [Tell es-Sultan, distanceFromModernJerichoCenter, about 2 kilometres north]
-
A.
distanceFromJericho
chosen
Indicates the spatial distance separating an entity from the location of Jericho.
-
B.
distanceFromJerusalem
Indicates the spatial distance between a given location and Jerusalem.
-
C.
distanceFromMadaba
Indicates the spatial distance separating a given place or object from the location of Madaba.
-
D.
distanceFromBethlehem
Indicates the spatial distance between a given location and Bethlehem.
-
E.
distanceFromArafat
Indicates the spatial distance between a given entity and the location associated with Arafat.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9232ded08190b4142e604319b2ba |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.