Triple
T2043849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muzdalifah |
E45404
|
entity |
| Predicate | distanceFromMina |
P36004
|
FINISHED |
| Object | approximately 5 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 5 kilometers | Statement: [Muzdalifah, distanceFromMina, approximately 5 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMina Context triple: [Muzdalifah, distanceFromMina, approximately 5 kilometers]
-
A.
distanceToBingham
Indicates the measured or calculated distance between a given entity and the location named Bingham.
-
B.
distanceFromAlamogordo
Indicates the spatial distance between a given entity and the location of Alamogordo.
-
C.
distanceFromTerminus
Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
-
D.
approximateLengthInMiles
Indicates the estimated distance or extent of something measured in miles.
-
E.
distanceFromSocorro
Indicates the spatial distance between an entity and the reference location Socorro.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abbc2b07d48190ba9d67353167b472 |
completed | March 7, 2026, 5:48 a.m. |
Created at: March 4, 2026, 7:39 p.m.