Triple
T17984372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhammad Shah Rangila |
E430187
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Rafi ud-Darajat |
—
|
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: Rafi ud-Darajat | Statement: [Muhammad Shah Rangila, predecessor, Rafi ud-Darajat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rafi ud-Darajat Context triple: [Muhammad Shah Rangila, predecessor, Rafi ud-Darajat]
-
A.
Rafi ud-Darajat
chosen
Rafi ud-Darajat was a short-reigning Mughal emperor of India in 1719, elevated to the throne by the Sayyid brothers during a period of intense imperial decline and court intrigue.
-
B.
Al Mushrif
Al Mushrif is a primarily residential district in Abu Dhabi known for its villas, embassies, and proximity to key city landmarks.
-
C.
Hedaya
Hedaya is a surname most notably associated with American character actor Dan Hedaya, known for his numerous film and television roles.
-
D.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
E.
Al Mudawwar
Al Mudawwar is a Palestinian locality situated within the Qalqilya Governorate in the northwestern West Bank.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29a27b081909a128a6b978eabf8 |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.