Triple
T12731416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arad |
E304244
|
entity |
| Predicate | distanceToMasada |
P106615
|
FINISHED |
| Object | approximately 20–25 kilometers |
—
|
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 20–25 kilometers | Statement: [Arad, distanceToMasada, approximately 20–25 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMasada Context triple: [Arad, distanceToMasada, approximately 20–25 kilometers]
-
A.
distanceFromMadaba
Indicates the spatial distance separating a given place or object from the location of Madaba.
-
B.
distanceToPetra
Indicates the spatial distance between a given entity or location and Petra.
-
C.
distanceFromJericho
Indicates the spatial distance separating an entity from the location of Jericho.
-
D.
distanceFromBeersheba
Indicates the spatial distance between a given location or entity and Beersheba.
-
E.
distanceFromJerusalem
Indicates the spatial distance between a given location and Jerusalem.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:25 p.m.