Triple
T19989751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhammad Azam |
E494029
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Jajau |
—
|
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: Jajau | Statement: [Muhammad Azam, placeOfDeath, Jajau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jajau Context triple: [Muhammad Azam, placeOfDeath, Jajau]
-
A.
Jajau
chosen
Jajau is a locality in northern India historically noted as the place where the Mughal prince Azam Shah died.
-
B.
Jajaghu
Jajaghu is an alternative name for the Jago Temple, an ancient religious structure in Indonesia known for its historical and architectural significance.
-
C.
Jaji
Jaji is a Pashtun tribe associated with the Karlani tribal confederation, primarily found in eastern Afghanistan and parts of Pakistan.
-
D.
Jajamen
Jajamen is a regional noodle dish from Morioka, Japan, featuring thick wheat noodles typically served with a savory meat-miso sauce and various toppings.
-
E.
Gelgel
Gelgel is a historic village in Bali, Indonesia, known as a former royal capital and cultural center of the Klungkung kingdom.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fdecf108190a5b215fd25bc4dda |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:30 p.m.