Triple
T27162431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sde Boqer |
E682695
|
entity |
| Predicate | distanceToBeersheba |
P78360
|
FINISHED |
| Object | approximately 50 km south of Beersheba |
—
|
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 50 km south of Beersheba | Statement: [Sde Boqer, distanceToBeersheba, approximately 50 km south of Beersheba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBeersheba Context triple: [Sde Boqer, distanceToBeersheba, approximately 50 km south of Beersheba]
-
A.
distanceFromBeersheba
chosen
Indicates the spatial distance between a given location or entity and Beersheba.
-
B.
distanceFromJericho
Indicates the spatial distance separating an entity from the location of Jericho.
-
C.
distanceFromJerusalem
Indicates the spatial distance between a given location and Jerusalem.
-
D.
distanceFromBethlehem
Indicates the spatial distance between a given location and Bethlehem.
-
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_69eefacf6e788190a75a64399d9e3109 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69ff136ed2a881908f713401083970d1 |
completed | May 9, 2026, 10:58 a.m. |
| PD | Predicate disambiguation | batch_69ff10f9e3448190b6cb6ea5a67713c1 |
completed | May 9, 2026, 10:48 a.m. |
Created at: April 27, 2026, 9:19 a.m.