Triple
T14481181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuya |
E359103
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Mut-Tuyae |
E453339
|
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: Mut-Tuyae | Statement: [Tuya, hasNameVariant, Mut-Tuyae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mut-Tuyae Context triple: [Tuya, hasNameVariant, Mut-Tuyae]
-
A.
Thayet
Thayet is a town in central Myanmar known historically as an administrative and trading center along the Irrawaddy River.
-
B.
Tayinloan
Tayinloan is a small coastal village on the Kintyre peninsula in Argyll and Bute, western Scotland, known as a ferry point to the Isle of Gigha.
-
C.
Shalla-Bal
Shalla-Bal is a prominent Marvel Comics character, the beloved of the Silver Surfer and often the spiritual and political leader of his homeworld, Zenn-La.
-
D.
Kiya
chosen
Kiya was a lesser-known wife of the Egyptian pharaoh Akhenaten, often associated with the Amarna period and subject to scholarly debate regarding her origins and role at court.
-
E.
Tarḫunna
Tarḫunna is the chief storm god of the Hittite pantheon, associated with thunder, rain, and kingship.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924bc548819087a2f693840d7426 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a41a8c819081a3eaabbe66577a |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:20 a.m.