Triple
T9561553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shughni |
E230685
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Khufi |
E549725
|
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: Khufi | Statement: [Shughni, hasDialect, Khufi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khufi Context triple: [Shughni, hasDialect, Khufi]
-
A.
Khufi
chosen
Khufi is a lesser-known Eastern Iranian language spoken in parts of the Pamir region, notable for its distinct phonology and morphology within the Southeastern Iranian subgroup.
-
B.
Seker
Seker is an ancient Egyptian funerary god associated with the Memphite necropolis and the afterlife, often linked with Ptah and Osiris.
-
C.
Harkhuf
Harkhuf was an important Old Kingdom Egyptian official and explorer known for his expeditions to Nubia during the Sixth Dynasty.
-
D.
Pyramiden
Pyramiden is an abandoned Soviet-era mining town on the Norwegian archipelago of Svalbard, now preserved as a ghost town and tourist destination in the Arctic.
-
E.
Waset
Waset was the ancient Egyptian city known in Greek as Thebes, a major religious and political center along the Nile.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd994d31e08190b139f5ad10d8ea31 |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152a014a48190925d52967e1fbffe |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:03 p.m.