Triple
T18694408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arcas |
E457078
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Azan |
—
|
NE NERFINISHED |
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: Azan | Statement: [Arcas, hasChild, Azan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azan Context triple: [Arcas, hasChild, Azan]
-
A.
Azan
chosen
Azan is a figure from Greek mythology known as a son of the Muse Erato and a eponymous ancestor of the Arcadian region of Azania.
-
B.
Assalah
Assalah is a residential and beachside neighborhood in the Egyptian resort town of Dahab on the Sinai Peninsula.
-
C.
Baab as-Salah
Baab as-Salah is one of the gates of Paradise in Islamic belief, associated with those who are devoted to performing the prescribed prayers.
-
D.
Dhikr
Dhikr is an Islamic devotional practice involving the repetitive remembrance and invocation of God through specific phrases, prayers, and names.
-
E.
Tahajjud
Tahajjud is a voluntary late-night Islamic prayer performed after waking from sleep, regarded as a highly virtuous act of worship and devotion.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e66a188190801fd95f9be26042 |
completed | April 19, 2026, 11:19 p.m. |
Created at: April 10, 2026, 11:49 a.m.