Triple
T16687776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secunderabad |
E405509
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Sikandar Jah |
E1138017
|
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: Sikandar Jah | Statement: [Secunderabad, namedAfter, Sikandar Jah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sikandar Jah Context triple: [Secunderabad, namedAfter, Sikandar Jah]
-
A.
Sikandar Jah
chosen
Sikandar Jah was the third Nizam of Hyderabad, a powerful 18th–19th century Indian ruler from the Asaf Jahi dynasty.
-
B.
Sikandar Shah
Sikandar Shah was a prominent medieval ruler of Bengal from the Ilyas Shahi dynasty, known for consolidating the sultanate’s power and patronizing architecture and culture.
-
C.
Raja Zulqarnain Khan
Raja Zulqarnain Khan is a Pakistani politician who served as the President of Azad Jammu and Kashmir.
-
D.
Fateh Ali
Fateh Ali is the given name of Mir Fateh Ali Khan Talpur, a prominent Talpur ruler of Sindh in the late 18th and early 19th centuries.
-
E.
Humayun Kabir
Humayun Kabir was an Indian educationist, writer, and politician who served as Union Minister for Education and played a key role in shaping post-independence India’s cultural and educational policies.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea75df481909a7ebb9b2a9d0afd |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139e5f5988190a87b62d32bfb32fa |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:19 a.m.