Triple
T8265261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nukat-us-Shuara |
E193285
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Nukat ush Shuara |
E193285
|
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: Nukat ush Shuara | Statement: [Nukat-us-Shuara, alsoKnownAs, Nukat ush Shuara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nukat ush Shuara Context triple: [Nukat-us-Shuara, alsoKnownAs, Nukat ush Shuara]
-
A.
Nukat-us-Shuara
chosen
Nukat-us-Shuara is a biographical and critical anthology of poets compiled by the renowned Urdu poet Mir Taqi Mir.
-
B.
Shūgiin
Shūgiin is the lower house of Japan’s National Diet, responsible for passing legislation, approving the budget, and selecting the prime minister.
-
C.
Rouzhi
Rouzhi is an alternative historical name for the Yuezhi, an ancient Central Asian people known for their migrations and role in founding the Kushan Empire.
-
D.
Haramosh Shina
Haramosh Shina is a regional dialect of the Shina language spoken in the Haramosh area of northern Pakistan.
-
E.
Kuo
Kuo is a Wade–Giles romanization of the Chinese surname and name more commonly spelled "Guo" in pinyin.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794c54448190a685b8d0070980d7 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd357b0ae081909fdaeab31624e6f1 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 5:50 p.m.