Triple
T6186929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shíshálh Nation |
E138083
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
sháshíshálhem
sháshíshálhem is the traditional Coast Salish language spoken by the Shíshálh (Sechelt) people of British Columbia, Canada.
|
E576397
|
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: sháshíshálhem | Statement: [Shíshálh Nation, hasLanguage, sháshíshálhem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: sháshíshálhem Context triple: [Shíshálh Nation, hasLanguage, sháshíshálhem]
-
A.
ŠA
ŠA is the regional vehicle registration code used on license plates for the city of Šabac in Serbia.
-
B.
ashik
An ashik is a traditional Turkic bard and folk musician who performs narrative poetry and epic tales, often accompanying themselves on a long-necked lute.
-
C.
SH
SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
-
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.
Sh1
Sh1 is a Georgian mountain road route that traverses the Goderdzi Pass, connecting regions across the Lesser Caucasus.
- 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: sháshíshálhem Triple: [Shíshálh Nation, hasLanguage, sháshíshálhem]
Generated description
sháshíshálhem is the traditional Coast Salish language spoken by the Shíshálh (Sechelt) people of British Columbia, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: sháshíshálhem Target entity description: sháshíshálhem is the traditional Coast Salish language spoken by the Shíshálh (Sechelt) people of British Columbia, Canada.
-
A.
ŠA
ŠA is the regional vehicle registration code used on license plates for the city of Šabac in Serbia.
-
B.
ashik
An ashik is a traditional Turkic bard and folk musician who performs narrative poetry and epic tales, often accompanying themselves on a long-necked lute.
-
C.
SH
SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
-
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.
Sh1
Sh1 is a Georgian mountain road route that traverses the Goderdzi Pass, connecting regions across the Lesser Caucasus.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0621671988190938dd16242a2e4d5 |
completed | March 22, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16effda2481909dad5732077cf1d3 |
completed | March 23, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_69c1bf1abd9881908c726c090f56b2f4 |
completed | March 23, 2026, 10:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1bfba7a9881909545138859ab8c48 |
completed | March 23, 2026, 10:33 p.m. |
Created at: March 22, 2026, 4:19 p.m.