Triple
T14800958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shehri |
E347907
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Śḥerɛt |
E1079879
|
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: Śḥerɛt | Statement: [Shehri, hasAlternativeName, Śḥerɛt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Śḥerɛt Context triple: [Shehri, hasAlternativeName, Śḥerɛt]
-
A.
Śḥərɛt
chosen
Śḥərɛt is another name for the Shehri language, a Modern South Arabian language spoken by the Shehri people in parts of Oman.
-
B.
Shekt
Shekt is the surname of Dr. Shekt, a fictional scientist character appearing in Isaac Asimov’s novel "The End of Eternity."
-
C.
Tašrītu
Tašrītu is an alternative transliteration of the Akkadian month name Tashritu, associated with the beginning of the year in the ancient Mesopotamian calendar.
-
D.
Sehar
Sehar is a 2005 Indian crime drama film acclaimed for its realistic portrayal of the Uttar Pradesh police force and the criminal underworld.
-
E.
Shfela
Shfela is a lowland region in central Israel characterized by rolling hills and fertile valleys between the coastal plain and the Judean Mountains.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd62c36c81909c2993dc7d1a79ea |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c4f690819087504fcfd2df8ba3 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.