Triple
T14786293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebat Bet Gurage |
E347533
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Gurage Inor |
E837592
|
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: Gurage Inor | Statement: [Sebat Bet Gurage, hasDialect, Gurage Inor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gurage Inor Context triple: [Sebat Bet Gurage, hasDialect, Gurage Inor]
-
A.
Melesse
Melesse is a commune in the Ille-et-Vilaine department of Brittany in northwestern France.
-
B.
Gurage
chosen
Gurage refers to a group of ethnolinguistic communities in south-central Ethiopia known for their distinct Semitic language varieties and rich cultural traditions.
-
C.
Mahlet
Mahlet is a traditional poetic and musical form used in the Eritrean Orthodox Church’s liturgy, characterized by its chant-like, devotional style.
-
D.
Guraru
Guraru is a town in the Indian state of Bihar, known as a local settlement within the Gaya region.
-
E.
Serota
Serota is the surname of Sir Nicholas Serota, a prominent British arts administrator best known for his long tenure as director of the Tate galleries.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decaa083e481908336d58d026eec32 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b9e8a08190bc736ac207b77324 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.