Triple
T21185736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chin State |
E522072
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Mindat |
—
|
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: Mindat | Statement: [Chin State, hasTown, Mindat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mindat Context triple: [Chin State, hasTown, Mindat]
-
A.
Mindat
chosen
Mindat is a small town in Myanmar’s mountainous Chin State, known as a gateway to traditional Chin villages and cultures.
-
B.
Mineralia
Mineralia is the mineral kingdom in Carl Linnaeus’s Systema Naturae, encompassing all non-living, inorganic natural substances.
-
C.
Song of the Minerals
Song of the Minerals is a musical segment from the educational TV series "The Magic School Bus" that teaches children about different types of minerals through song.
-
D.
Grossularia
Grossularia is a genus of flowering plants best known for including the gooseberries, which bear small, often tart edible berries.
-
E.
Rockhound
Rockhound is a quirky, intelligent geologist and member of the drilling team in the 1998 science fiction film "Armageddon."
- 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.