Triple
T10612254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mughal Emperor |
E276032
|
entity |
| Predicate | styleOfAddress |
P536
|
FINISHED |
| Object | Hazrat-e-Ala |
E456114
|
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: Hazrat-e-Ala | Statement: [Mughal Emperor, styleOfAddress, Hazrat-e-Ala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazrat-e-Ala Context triple: [Mughal Emperor, styleOfAddress, Hazrat-e-Ala]
-
A.
Ala Hazrat
Ala Hazrat, also known as Ahmed Raza Khan Barelvi, was a prominent 19th–20th century Sunni Islamic scholar, jurist, and theologian from India and the founder and leading figure of the Barelvi movement.
-
B.
Al-A'la
Al-A'la is the Arabic name of a Meccan chapter of the Qur'an that praises and glorifies the Most High God.
-
C.
Hazrat
chosen
Hazrat is an Islamic honorific title used to show deep respect and reverence for esteemed religious figures and saints.
-
D.
Ar-Rahim
Ar-Rahim is one of the 99 Names of Allah in Islam, signifying God as the Especially Merciful whose compassion is continuously bestowed upon His creation.
-
E.
Khudā-e Sukhan
Khudā-e Sukhan is an honorific title meaning "God of Poetry," traditionally bestowed upon the renowned Urdu poet Mir Taqi Mir for his unmatched mastery of the art.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5baf94819097b14a73af058f35 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ec61b388190adee9b3577567709 |
completed | April 10, 2026, 8:34 p.m. |
Created at: April 8, 2026, 7:33 p.m.