Triple
T7492982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiha |
E177052
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Giha |
E667771
|
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: Giha | Statement: [Kiha, hasAlternativeName, Giha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giha Context triple: [Kiha, hasAlternativeName, Giha]
-
A.
Giha
chosen
Giha is an alternate name for the Ha language, a Bantu language spoken primarily in western Tanzania.
-
B.
Heida
Heida is a traditional white wine grape variety from Switzerland’s Valais region, known for producing aromatic, full-bodied wines with good acidity and aging potential.
-
C.
Kiya
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.
-
D.
Hybe
Hybe is a historic village in northern Slovakia’s Liptov region, known for its traditional architecture and scenic mountainous surroundings.
-
E.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5784c908190b701959daf082625 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c846043ed48190b6fa45ed0e70b4d3 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:43 p.m.