Triple
T21185735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chin State |
E522072
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Tedim |
—
|
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: Tedim | Statement: [Chin State, hasTown, Tedim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tedim Context triple: [Chin State, hasTown, Tedim]
-
A.
Tedim
chosen
Tedim is a town in northwestern Myanmar known as a cultural and administrative center for the Zomi (Chin) people in Chin State.
-
B.
Tymfi
Tymfi is a prominent mountain range in the Pindus Mountains of northwestern Greece, known for its dramatic peaks, deep gorges, and popular hiking routes.
-
C.
Tived
Tived is a small village in central Sweden known for its proximity to the historic Tiveden forest and national park.
-
D.
Tegsedi
Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
-
E.
Ditidat
Ditidat is an alternative spelling of Ditidaht, a First Nations people of the Pacific Northwest Coast of Canada.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73021671c8190a7b464ece7dbaadd |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:06 p.m.