Triple
T10233575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor of Hindustan |
E243403
|
entity |
| Predicate | legalStatusUnderBritish |
P92891
|
FINISHED |
| Object | subordinate ally |
—
|
LITERAL 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: subordinate ally | Statement: [Emperor of Hindustan, legalStatusUnderBritish, subordinate ally]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusUnderBritish Context triple: [Emperor of Hindustan, legalStatusUnderBritish, subordinate ally]
-
A.
legalStatusInHomeland
Indicates the legal status or classification an entity holds within its country or place of origin.
-
B.
statusInUK
Indicates the legal or official status that an entity holds within the United Kingdom (e.g., immigration, residency, or authorization category).
-
C.
legalStatusInDiaspora
Indicates the legal status or classification an entity holds while residing outside its country or place of origin.
-
D.
legalStatusAtArrival
Indicates the legal status or classification an entity held at the time it first arrived at a particular place or jurisdiction.
-
E.
legalStatusAfter1974
Indicates the legal status or condition that an entity holds from the year 1974 onward, typically reflecting changes due to laws or regulations enacted at or after that time.
- F. None of above. chosen
Provenance (4 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69d4d1e9798c8190b437d53d48554ba1 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d23a9c4c8190abece9e52879c479 |
completed | April 7, 2026, 9:45 a.m. |
Created at: April 6, 2026, 11:20 a.m.