Triple
T2981066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran 17:1 |
E80510
|
entity |
| Predicate | attributesToAlAqsa |
P44441
|
FINISHED |
| Object | blessed surroundings |
—
|
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: blessed surroundings | Statement: [Quran 17:1, attributesToAlAqsa, blessed surroundings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attributesToAlAqsa Context triple: [Quran 17:1, attributesToAlAqsa, blessed surroundings]
-
A.
designatedByPalestineAs
Indicates that an entity has been officially assigned a particular status, role, or label through a formal designation made by Palestine.
-
B.
hasMosque
Indicates that one entity possesses, contains, or is the location of a mosque.
-
C.
distanceFromArafat
Indicates the spatial distance between a given entity and the location associated with Arafat.
-
D.
knownInIslamAs
Indicates that an entity is referred to by a particular name, title, or designation specifically within the context of Islam or Islamic tradition.
-
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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99a098e08190976eb4b019818f67 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad9611fc348190a5d17d237f653f60 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f5d28c8190899d90204dc43428 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:58 p.m.