Triple
T3963778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isra |
E85966
|
entity |
| Predicate | modeOfTravel |
P1379
|
FINISHED |
| Object | Buraq |
E81635
|
NE 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: Buraq | Statement: [Isra, modeOfTravel, Buraq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buraq Context triple: [Isra, modeOfTravel, Buraq]
-
A.
Buraq
chosen
Buraq is a mythical, winged steed in Islamic tradition that transported the Prophet Muhammad during his miraculous Night Journey.
-
B.
Miraj
Miraj is a prominent city in Maharashtra, India, known as a regional commercial and medical hub and for its historical and cultural significance.
-
C.
Muzdalifa
Muzdalifa is an open plain near Mecca in Saudi Arabia where Muslim pilgrims gather, pray, and collect pebbles during the Hajj pilgrimage.
-
D.
Mālaqa
Mālaqa is the historical Arabic name for the Spanish coastal city of Málaga, reflecting its period under Muslim rule in Al-Andalus.
-
E.
Jebrail
Jebrail is a town in southwestern Azerbaijan that historically served as an administrative center in the Jabrayil District.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef97326888190bbfe15b218e3112e |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533bb92088190b7d0ba2eb92c3e80 |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:31 p.m.