Triple
T13578894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khirbat al-Mafjar |
E324357
|
entity |
| Predicate | distanceToJericho |
P25211
|
FINISHED |
| Object | approximately 3 kilometers 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: approximately 3 kilometers north | Statement: [Khirbat al-Mafjar, distanceToJericho, approximately 3 kilometers north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToJericho Context triple: [Khirbat al-Mafjar, distanceToJericho, approximately 3 kilometers north]
-
A.
distanceFromJericho
chosen
Indicates the spatial distance separating an entity from the location of Jericho.
-
B.
distanceFromBethlehem
Indicates the spatial distance between a given location and Bethlehem.
-
C.
distanceFromJerusalem
Indicates the spatial distance between a given location and Jerusalem.
-
D.
distanceFromNazareth
Indicates the measured distance between a given place or entity and the location of Nazareth.
-
E.
distanceFromMadaba
Indicates the spatial distance separating a given place or object from the location of Madaba.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb03052088190a2b68c106059828e |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.