Triple
T7224835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Uhud site |
E150352
|
entity |
| Predicate | distanceFromMedina |
P35868
|
FINISHED |
| Object | a few kilometers north of central Medina |
—
|
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: a few kilometers north of central Medina | Statement: [Battle of Uhud site, distanceFromMedina, a few kilometers north of central Medina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMedina Context triple: [Battle of Uhud site, distanceFromMedina, a few kilometers north of central Medina]
-
A.
distanceFromMedinaCenterApprox
chosen
Indicates an approximate measure of how far something is located from the center of Medina.
-
B.
distanceFromJeddah
Indicates the measured spatial distance between a given entity and the location of Jeddah.
-
C.
distanceFromSanaa
Indicates the spatial distance between an entity and the location of Sanaa.
-
D.
distanceToAlKhums_km
Indicates the physical distance, measured in kilometers, between an entity and the location of Al Khums.
-
E.
distanceFromMecca
Indicates the measured spatial distance between a given location and the city of Mecca.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9dc835881909ea646c392a980b6 |
completed | March 27, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69c6e761b7fc8190857794d78af1b468 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:54 p.m.