Triple
T15489852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gebel el-Silsila |
E378650
|
entity |
| Predicate | hasShrineDedicatedTo |
P27875
|
FINISHED |
| Object | Mut |
E201450
|
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 | Statement: [Gebel el-Silsila, hasShrineDedicatedTo, Mut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mut Context triple: [Gebel el-Silsila, hasShrineDedicatedTo, Mut]
-
A.
Mut
chosen
Mut is an ancient Egyptian mother goddess associated with kingship and protection, prominently worshipped at Thebes as a principal consort of Amun.
-
B.
Mut
Mut is a town in Egypt’s Western Desert that serves as the main administrative and population center of the Dakhla Oasis.
-
C.
Mut
Mut is a district and town in Turkey’s Mersin Province, known for its agricultural production—especially apricots—and its historical sites dating back to ancient times.
-
D.
Mir
Mir was a Soviet and later Russian modular space station that served as a long-term research outpost in low Earth orbit from 1986 to 2001.
-
E.
Mir
Mir is a historic town in present-day Belarus, known for its multicultural heritage and the UNESCO-listed Mir Castle Complex.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faaca588190b0397bc2e27a522a |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365d45488190b48458092b6ffead |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:48 a.m.