Triple
T15450783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamyen language |
E370143
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Thamien |
E462662
|
NE FINISHED |
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: [Tamyen language, alternativeName, Thamien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thamien Context triple: [Tamyen language, alternativeName, 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.
Dadu He
Dadu He is the Chinese name for the Dadu River, a major tributary of the upper Yangtze River in southwestern China known for its dramatic gorges and historical significance.
-
C.
Bo'an
Bo'an is the courtesy name of Wang Yangming, the influential Ming dynasty philosopher, statesman, and Neo-Confucian thinker.
-
D.
Houhai
Houhai is a coastal area in Shenzhen, China, known for its modern waterfront developments, shopping centers, and vibrant nightlife.
-
E.
Xin'an
Xin'an is the historical name of the region now known as Huizhou in Guangdong, China, reflecting its earlier administrative and cultural identity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03efaf82c81908b464e37ce9c159a |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b1e9688190a283dbc552072ce0 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.