Triple
T6400427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taitung County |
E144047
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Daren Township
Daren Township is a rural indigenous township in southern Taitung County, Taiwan, known for its mountainous landscapes and traditional Paiwan and Rukai communities.
|
E609996
|
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: Daren Township | Statement: [Taitung County, contains, Daren Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daren Township Context triple: [Taitung County, contains, Daren Township]
-
A.
Dorr Township
Dorr Township is a civil township and primarily rural community located in Allegan County in the U.S. state of Michigan.
-
B.
Evanturel Township
Evanturel Township is a small rural municipality located in northeastern Ontario, Canada, within the Timiskaming District.
-
C.
O'Hara Township
O'Hara Township is a suburban municipality in Allegheny County, Pennsylvania, located northeast of Pittsburgh along the Allegheny River.
-
D.
Fillmore Township
Fillmore Township is a civil township located within Allegan County in the U.S. state of Michigan.
-
E.
Dymond Township
Dymond Township was a former municipality in northeastern Ontario, Canada, that later became part of the city of Temiskaming Shores.
- 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: Daren Township Triple: [Taitung County, contains, Daren Township]
Generated description
Daren Township is a rural indigenous township in southern Taitung County, Taiwan, known for its mountainous landscapes and traditional Paiwan and Rukai communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daren Township Target entity description: Daren Township is a rural indigenous township in southern Taitung County, Taiwan, known for its mountainous landscapes and traditional Paiwan and Rukai communities.
-
A.
Dorr Township
Dorr Township is a civil township and primarily rural community located in Allegan County in the U.S. state of Michigan.
-
B.
Evanturel Township
Evanturel Township is a small rural municipality located in northeastern Ontario, Canada, within the Timiskaming District.
-
C.
O'Hara Township
O'Hara Township is a suburban municipality in Allegheny County, Pennsylvania, located northeast of Pittsburgh along the Allegheny River.
-
D.
Fillmore Township
Fillmore Township is a civil township located within Allegan County in the U.S. state of Michigan.
-
E.
Dymond Township
Dymond Township was a former municipality in northeastern Ontario, Canada, that later became part of the city of Temiskaming Shores.
- 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0689ae99881909ba427769fd317ae |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eec623c081908352580b64218ec4 |
completed | March 27, 2026, 8:55 p.m. |
| NEDg | Description generation | batch_69c6f09ea58c8190bfd8a183581b5a5a |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f1a0935881908afc30ce76bdf76f |
completed | March 27, 2026, 9:07 p.m. |
Created at: March 22, 2026, 4:35 p.m.