Triple
T3330322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Semitic languages |
E70016
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object |
Harsusi
Harsusi is a critically endangered South Semitic language spoken by a small community in the Dhofar region of Oman.
|
E347905
|
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: Harsusi | Statement: [South Semitic languages, includesLanguage, Harsusi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harsusi Context triple: [South Semitic languages, includesLanguage, Harsusi]
-
A.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
-
B.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
-
C.
Harauti
Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
-
D.
Huvishka
Huvishka was a prominent Kushan emperor of the 2nd century CE, known for his extensive coinage and role in consolidating the empire’s power and cultural diversity across Central and South Asia.
-
E.
Hernici
The Hernici were an ancient Italic tribe of central Italy, known for their early alliance and later conflicts with the expanding Roman Republic.
- 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: Harsusi Triple: [South Semitic languages, includesLanguage, Harsusi]
Generated description
Harsusi is a critically endangered South Semitic language spoken by a small community in the Dhofar region of Oman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harsusi Target entity description: Harsusi is a critically endangered South Semitic language spoken by a small community in the Dhofar region of Oman.
-
A.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
-
B.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
-
C.
Harauti
Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
-
D.
Huvishka
Huvishka was a prominent Kushan emperor of the 2nd century CE, known for his extensive coinage and role in consolidating the empire’s power and cultural diversity across Central and South Asia.
-
E.
Hernici
The Hernici were an ancient Italic tribe of central Italy, known for their early alliance and later conflicts with the expanding Roman Republic.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb171ee0881908642504ab0ac8329 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a810e2c8190bfc206bdeb1ac5b8 |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31c37f3a08190823c32e8f933ce82 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31caa4e188190b4dfd613fdaebdb6 |
completed | March 12, 2026, 8:06 p.m. |
Created at: March 8, 2026, 3:12 p.m.