Triple
T18702543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Clara Costanoan |
E457287
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Thamien |
—
|
NE NERFINISHED |
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: Thamien | Statement: [Santa Clara Costanoan, alternateName, Thamien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thamien Context triple: [Santa Clara Costanoan, alternateName, Thamien]
-
A.
Thamien
chosen
Thamien is an alternate name for the Tamyen, a Native American people and language historically associated with the San Francisco Bay Area in California.
-
B.
Liuhe
Liuhe is a town in Taicang, Jiangsu Province, China, known as a local residential and educational hub within the greater Suzhou region.
-
C.
Zhuzihu
Zhuzihu is a scenic valley area in Taipei’s Yangmingshan National Park, best known for its cool-climate agriculture and seasonal calla lily fields.
-
D.
Yanjing
Yanjing was a historic Chinese capital city, best known as the former name of modern-day Beijing.
-
E.
T’eng
T’eng is an alternative transliteration of the Chinese surname and place name commonly rendered as "Teng" in pinyin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56714d0588190ac050356bc2784fd |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:49 a.m.