Triple
T23035185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhammad Azam Shah |
E573574
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Wala Jah |
—
|
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: Wala Jah | Statement: [Muhammad Azam Shah, child, Wala Jah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wala Jah Context triple: [Muhammad Azam Shah, child, Wala Jah]
-
A.
Wala Jah
chosen
Wala Jah was a Mughal prince, known primarily as a descendant of the Mughal emperor Azam Shah.
-
B.
Walla Jah
Walla Jah is the honorific title of Muhammad Ali Khan Wallajah, an 18th-century Nawab of the Carnatic in South India.
-
C.
Wahidi
Wahidi was a small sultanate in what is now Yemen that became one of the constituent states of the British-era Federation of South Arabia.
-
D.
Waala
Waala is the principal settlement and administrative center of the Bélep Islands in New Caledonia.
-
E.
Wahb
Wahb is an Arabic male given name historically borne by several early Islamic figures.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1850df7fc81909ee522d99d96af0d |
completed | April 29, 2026, 4:11 a.m. |
Created at: April 17, 2026, 3:53 p.m.