Triple
T29553441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sderot |
E749840
|
entity |
| Predicate | distanceToAshkelon |
P202587
|
FINISHED |
| Object | about 20 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 20 kilometers | Statement: [Sderot, distanceToAshkelon, about 20 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAshkelon Context triple: [Sderot, distanceToAshkelon, about 20 kilometers]
-
A.
distanceFromBeersheba
Indicates the spatial distance between a given location or entity and Beersheba.
-
B.
distanceFromJerusalem
Indicates the spatial distance between a given location and Jerusalem.
-
C.
distanceFromTelAviv_km
Indicates the physical distance, measured in kilometers, between a given place and Tel Aviv.
-
D.
distanceFromMadaba
Indicates the spatial distance separating a given place or object from the location of Madaba.
-
E.
distanceFromJericho
Indicates the spatial distance separating an entity from the location of Jericho.
- 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_6a009d623f6c8190b702e2892c52fbb2 |
completed | May 10, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_6a009a3050d48190b64567f28e6ea463 |
completed | May 10, 2026, 2:46 p.m. |
| PDg | Predicate description generation | batch_6a009d6144d48190889bc704368d8878 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 28, 2026, 5:14 p.m.