Triple
T22253290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kharas |
E550031
|
entity |
| Predicate | hasArabicName |
P6450
|
FINISHED |
| Object | خاراس |
—
|
NE NERFINISHED |
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: خاراس | Statement: [Kharas, hasArabicName, خاراس]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: خاراس Context triple: [Kharas, hasArabicName, خاراس]
-
A.
Xaratanga
Xaratanga is a principal goddess in the Purépecha (Tarascan) pantheon, associated with fertility, the moon, and the sea in pre-Columbian western Mexico.
-
B.
Kharas
chosen
Kharas is a Palestinian village located in the Hebron Governorate in the southern West Bank.
-
C.
Khmin
Khmin is an ancient name for the Egyptian city of Panopolis, a significant religious and cultural center in Upper Egypt.
-
D.
Khara
Khara is a Japanese animation studio founded by Hideaki Anno, best known for producing the Rebuild of Evangelion film series.
-
E.
Belas
Belas is a rapidly developing urban municipality in Luanda Province, Angola, known for its residential expansion and emerging commercial infrastructure.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c0c4f48190a75473a7835014f1 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.