Triple
T7305446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maqam Ibrahim |
E167961
|
entity |
| Predicate | distanceFromKaaba |
P76114
|
FINISHED |
| Object | a few meters |
—
|
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: a few meters | Statement: [Maqam Ibrahim, distanceFromKaaba, a few meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromKaaba Context triple: [Maqam Ibrahim, distanceFromKaaba, a few meters]
-
A.
distanceFromMecca
Indicates the measured spatial distance between a given location and the city of Mecca.
-
B.
distanceFromMeccaApprox
Indicates an approximate measure of how far something is located from Mecca.
-
C.
positionOnKaaba
Indicates that one entity occupies a specific location or placement on the surface or structure of the Kaaba.
-
D.
distanceFromJeddah
Indicates the measured spatial distance between a given entity and the location of Jeddah.
-
E.
travelTimeMeccaMedina
Indicates the duration or time required to travel between Mecca and Medina.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebd61c0c8190abb1368c9dfb1550 |
completed | March 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb2d4c0c8190b4cc6fdfdb7f4827 |
completed | March 27, 2026, 8:40 p.m. |
Created at: March 27, 2026, 3:01 p.m.