Triple
T8642097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Hijr (Madain Salih) |
E204675
|
entity |
| Predicate | distanceFromPetra |
P54301
|
FINISHED |
| Object | approximately 500 km southeast |
—
|
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 500 km southeast | Statement: [Al-Hijr (Madain Salih), distanceFromPetra, approximately 500 km southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPetra Context triple: [Al-Hijr (Madain Salih), distanceFromPetra, approximately 500 km southeast]
-
A.
distanceToPetra
chosen
Indicates the spatial distance between a given entity or location and Petra.
-
B.
distanceFromMadaba
Indicates the spatial distance separating a given place or object from the location of Madaba.
-
C.
distanceToAqaba
Indicates the spatial distance between a given location and the city of Aqaba.
-
D.
distanceFromJericho
Indicates the spatial distance separating an entity from the location of Jericho.
-
E.
distanceFromAlexandria_km
Indicates the distance, measured in kilometers, between a given location and Alexandria.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4795b07081908bfc9ebf35a50f07 |
completed | March 31, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69cc455d6d448190a2da2a319ac78c37 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:28 p.m.