Triple
T26208622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Station of Abraham |
E655421
|
entity |
| Predicate | proximityToKaaba |
P76114
|
FINISHED |
| Object | situated a short distance from the Kaaba |
—
|
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: situated a short distance from the Kaaba | Statement: [Station of Abraham, proximityToKaaba, situated a short distance from the Kaaba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proximityToKaaba Context triple: [Station of Abraham, proximityToKaaba, situated a short distance from the Kaaba]
-
A.
distanceFromKaaba
chosen
Indicates the spatial distance between an entity’s location and the Kaaba.
-
B.
distanceFromMecca
Indicates the measured spatial distance between a given location and the city of Mecca.
-
C.
distanceFromMeccaApprox
Indicates an approximate measure of how far something is located from Mecca.
-
D.
positionOnKaaba
Indicates that one entity occupies a specific location or placement on the surface or structure of the Kaaba.
-
E.
approxElevationAboveMecca
Indicates that one location’s elevation is approximately a specified amount higher or lower than the elevation of Mecca.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60d154a208190b13f6597d6a17143 |
completed | May 2, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:51 p.m.