Triple
T15406495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saopha |
E368469
|
entity |
| Predicate | similarTo |
P4460
|
FINISHED |
| Object | Sawbwa |
E368468
|
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: Sawbwa | Statement: [Saopha, similarTo, Sawbwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sawbwa Context triple: [Saopha, similarTo, Sawbwa]
-
A.
Sawbwa
chosen
Sawbwa was the hereditary princely title held by the traditional rulers of the Shan States in what is now Myanmar.
-
B.
Sawbwa
Sawbwa is a small genus of Asian freshwater cyprinid fishes best known for the ornamental aquarium species Sawbwa resplendens, the Asian rummynose.
-
C.
Mawarannahr
Mawarannahr is the historical region of Transoxiana in Central Asia, centered between the Amu Darya and Syr Darya rivers and encompassing key Silk Road cities such as Samarkand and Bukhara.
-
D.
Tawailia
Tawailia is an alternate name for the Uma language, an Austronesian language spoken in parts of Indonesia.
-
E.
Tebet
Tebet is a densely populated urban district in South Jakarta, Indonesia, known for its residential neighborhoods, commercial areas, and busy traffic corridors.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea36c6881909eaea48e9608897a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135a26f08190ad3fc1d5a263a24e |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:20 a.m.