Triple
T4197507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wadi Rum |
E85988
|
entity |
| Predicate | distanceToPetra |
P54301
|
FINISHED |
| Object | approximately 100 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: approximately 100 kilometers | Statement: [Wadi Rum, distanceToPetra, approximately 100 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToPetra Context triple: [Wadi Rum, distanceToPetra, approximately 100 kilometers]
-
A.
distanceFromAlexandria_km
Indicates the distance, measured in kilometers, between a given location and Alexandria.
-
B.
distanceFromThebes
Indicates the spatial distance between a given location or entity and the city of Thebes.
-
C.
distanceFromJericho
Indicates the spatial distance separating an entity from the location of Jericho.
-
D.
distanceFromHadriansWall
Indicates the measured spatial distance between a given entity and Hadrian’s Wall.
-
E.
distanceFromJerusalem
Indicates the spatial distance between a given location and Jerusalem.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0360bc8081908ceb2483eef89174 |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af01959c4881909eb1adcb3bdadbe6 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af02e4e2308190b527e3b78eb8fa71 |
completed | March 9, 2026, 5:27 p.m. |
Created at: March 9, 2026, 3:48 p.m.