Triple
T17274384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiyali |
E419346
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Sirkazhi |
E521493
|
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: Sirkazhi | Statement: [Shiyali, alsoKnownAs, Sirkazhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirkazhi Context triple: [Shiyali, alsoKnownAs, Sirkazhi]
-
A.
Sirkazhi
chosen
Sirkazhi is a historic temple town in Tamil Nadu, India, renowned for its ancient Shiva shrines and rich Saivite devotional heritage.
-
B.
Sirkhi
Sirkhi is a dialect of the Dargin language, spoken by a subgroup of the Dargin people in the North Caucasus region of Russia.
-
C.
Sarki
Sarki is a traditional Hausa royal title historically used for kings and rulers in regions such as Gobir in West Africa.
-
D.
Sikrai
Sikrai is a town located in the Dausa district of the Indian state of Rajasthan.
-
E.
Charuymaq
Charuymaq is a county-level city in northwestern Iran known for its rural communities and location within East Azerbaijan Province.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332566c08190b4495dbbfe310ab6 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01794f6cf481909d76e3d61f9888c5 |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.