Triple
T14096540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shehri language |
E339266
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Śḥərɛt
Śḥərɛt is another name for the Shehri language, a Modern South Arabian language spoken by the Shehri people in parts of Oman.
|
E1079879
|
NE FINISHED |
How this triple was built (4 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: Śḥərɛt | Statement: [Shehri language, alternativeName, Śḥərɛt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Śḥərɛt Context triple: [Shehri language, alternativeName, Śḥərɛt]
-
A.
Shekt
Shekt is the surname of Dr. Shekt, a fictional scientist character appearing in Isaac Asimov’s novel "The End of Eternity."
-
B.
Sehar
Sehar is a 2005 Indian crime drama film acclaimed for its realistic portrayal of the Uttar Pradesh police force and the criminal underworld.
-
C.
Shahar
Shahar is an organization or group that includes Anindya Bose among its members.
-
D.
Xšayāršā
Xšayāršā is the Old Persian name of Xerxes I, the Achaemenid king who ruled the Persian Empire in the early 5th century BCE and led the famous invasion of Greece.
-
E.
Szohr
Szohr is the surname of American actress Jessica Szohr, best known for her role as Vanessa Abrams on the television series "Gossip Girl."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Śḥərɛt Triple: [Shehri language, alternativeName, Śḥərɛt]
Generated description
Śḥərɛt is another name for the Shehri language, a Modern South Arabian language spoken by the Shehri people in parts of Oman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Śḥərɛt Target entity description: Śḥərɛt is another name for the Shehri language, a Modern South Arabian language spoken by the Shehri people in parts of Oman.
-
A.
Shekt
Shekt is the surname of Dr. Shekt, a fictional scientist character appearing in Isaac Asimov’s novel "The End of Eternity."
-
B.
Sehar
Sehar is a 2005 Indian crime drama film acclaimed for its realistic portrayal of the Uttar Pradesh police force and the criminal underworld.
-
C.
Shahar
Shahar is an organization or group that includes Anindya Bose among its members.
-
D.
Xšayāršā
Xšayāršā is the Old Persian name of Xerxes I, the Achaemenid king who ruled the Persian Empire in the early 5th century BCE and led the famous invasion of Greece.
-
E.
Szohr
Szohr is the surname of American actress Jessica Szohr, best known for her role as Vanessa Abrams on the television series "Gossip Girl."
- F. None of above. chosen
Provenance (5 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb926288190a7f0f50d1d585d76 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0adfc28819097a1bfd56739c286 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd41c84408190ab4bc885e7ba8f81 |
completed | May 7, 2026, 6:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd4ab4b588190977b3dc2adc1f412 |
completed | May 7, 2026, 6:06 p.m. |
Created at: April 9, 2026, 10:22 p.m.