Triple
T22050270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nüshu |
E544863
|
entity |
| Predicate | ISO15924Code |
P208
|
FINISHED |
| Object |
Nshu
Nshu is the ISO 15924 code for Nüshu, a historic syllabic script from China traditionally used exclusively by women in parts of Hunan province.
|
E1515680
|
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: Nshu | Statement: [Nüshu, ISO15924Code, Nshu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nshu Context triple: [Nüshu, ISO15924Code, Nshu]
-
A.
Tashelhiyt
Tashelhiyt is a variety of the Shilha Berber language spoken primarily by Amazigh communities in southwestern Morocco.
-
B.
Chazhashi
Chazhashi is a historic village in Georgia’s Svaneti region, renowned for its medieval stone towers and traditional mountain architecture.
-
C.
Chumashan
Chumashan is a small family of extinct Native American languages once spoken along the southern and central coast of California.
-
D.
Qrami
Qrami is the Azerbaijani name for the Khrami River, a tributary of the Kura River flowing through Georgia and Azerbaijan.
-
E.
Munduruku
Munduruku is an indigenous people of the Brazilian Amazon known for their distinct language, rich cultural traditions, and historical prominence along the Tapajós River.
- 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: Nshu Triple: [Nüshu, ISO15924Code, Nshu]
Generated description
Nshu is the ISO 15924 code for Nüshu, a historic syllabic script from China traditionally used exclusively by women in parts of Hunan province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nshu Target entity description: Nshu is the ISO 15924 code for Nüshu, a historic syllabic script from China traditionally used exclusively by women in parts of Hunan province.
-
A.
Tashelhiyt
Tashelhiyt is a variety of the Shilha Berber language spoken primarily by Amazigh communities in southwestern Morocco.
-
B.
Chazhashi
Chazhashi is a historic village in Georgia’s Svaneti region, renowned for its medieval stone towers and traditional mountain architecture.
-
C.
Chumashan
Chumashan is a small family of extinct Native American languages once spoken along the southern and central coast of California.
-
D.
Qrami
Qrami is the Azerbaijani name for the Khrami River, a tributary of the Kura River flowing through Georgia and Azerbaijan.
-
E.
Munduruku
Munduruku is an indigenous people of the Brazilian Amazon known for their distinct language, rich cultural traditions, and historical prominence along the Tapajós River.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128323fb08190b9592fd08a96cba0 |
completed | April 28, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b79594c8190b66439167d7a3cbd |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7cb2b0c88190930290efe1d8371a |
completed | May 18, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7e131ae48190a564a86d3d691e1a |
completed | May 18, 2026, 2:48 a.m. |
Created at: April 16, 2026, 8:26 p.m.