Triple
T4725136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afula |
E104863
|
entity |
| Predicate | roadDistanceToHaifa |
P59051
|
FINISHED |
| Object | about 45 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: about 45 kilometers | Statement: [Afula, roadDistanceToHaifa, about 45 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToHaifa Context triple: [Afula, roadDistanceToHaifa, about 45 kilometers]
-
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.
distanceFromMadaba
Indicates the spatial distance separating a given place or object from the location of Madaba.
-
D.
distanceFromJericho
Indicates the spatial distance separating an entity from the location of Jericho.
-
E.
distanceFromBethlehem
Indicates the spatial distance between a given location and Bethlehem.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd67c895dc8190ba648002ff54424b |
completed | March 20, 2026, 3:29 p.m. |
Created at: March 20, 2026, 1:18 p.m.