Triple
T31238490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korazim |
E796491
|
entity |
| Predicate | distanceFromTiberias |
P203610
|
FINISHED |
| Object | about 11 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: about 11 kilometers north | Statement: [Korazim, distanceFromTiberias, about 11 kilometers north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTiberias Context triple: [Korazim, distanceFromTiberias, about 11 kilometers north]
-
A.
distanceFromTelAviv_km
Indicates the physical distance, measured in kilometers, between a given place and Tel Aviv.
-
B.
distanceFromJerusalem
Indicates the spatial distance between a given location and Jerusalem.
-
C.
distanceFromBeersheba
Indicates the spatial distance between a given location or entity and Beersheba.
-
D.
distanceFromJericho
Indicates the spatial distance separating an entity from the location of Jericho.
-
E.
distanceFromMadaba
Indicates the spatial distance separating a given place or object from the location of Madaba.
- 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_69f224db69ac81909a370adad6a7ac7c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a01b31b233c819091974a06f7a76d4a |
completed | May 11, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_6a01b2c147008190bbf9e0fa1bbae1f3 |
completed | May 11, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_6a01b31a5b408190abde68df45a82c81 |
completed | May 11, 2026, 10:44 a.m. |
Created at: April 29, 2026, 9:11 p.m.