Triple
T4059196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman ruins of Jerash |
E84766
|
entity |
| Predicate | distanceFromAmman |
P52841
|
FINISHED |
| Object | approximately 50 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: approximately 50 kilometers north | Statement: [Roman ruins of Jerash, distanceFromAmman, approximately 50 kilometers north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAmman Context triple: [Roman ruins of Jerash, distanceFromAmman, approximately 50 kilometers north]
-
A.
distanceToAmman
chosen
Indicates the spatial distance between a given location or entity and the city of Amman.
-
B.
distanceFromMedinaCenterApprox
Indicates an approximate measure of how far something is located from the center of Medina.
-
C.
distanceFromJerusalem
Indicates the spatial distance between a given location and Jerusalem.
-
D.
distanceFromBeirut
Indicates the measured spatial distance between a given entity’s location and the city of Beirut.
-
E.
distanceFromJericho
Indicates the spatial distance separating an entity from the location of Jericho.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbd13b4481908f9c09cc4f4a9724 |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef90249e4819095e9e043bc4aa9a6 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.