Triple
T1324420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Safa |
E28291
|
entity |
| Predicate | minimumSa'iTraversalsFrom |
P26553
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [al-Safa, minimumSa'iTraversalsFrom, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumSa'iTraversalsFrom Context triple: [al-Safa, minimumSa'iTraversalsFrom, 4]
-
A.
hasEasiestRoute
Indicates that one entity provides or represents the simplest or least difficult route or path to reach another entity or destination.
-
B.
maximumSegmentLength
Indicates the greatest allowable or observed length of a segment within a given context or structure.
-
C.
numberOfPaths
Indicates the count of distinct paths or routes that exist between specified points or within a given structure.
-
D.
maximumReach
Indicates the greatest extent, distance, or limit that something can reach or influence within a given context.
-
E.
hasTrailLength
Indicates that an entity (such as a trail or route) has a specific measured length.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19e81c0819092f85201ae34422a |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beedb49c8190beb5b85cdda05013 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf8158ac8190b8360ecccc2980bc |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:55 p.m.