Triple
T27101889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motok |
E686462
|
entity |
| Predicate | hasGeographicalDistribution |
P2178
|
FINISHED |
| Object | Upper Assam |
—
|
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: Upper Assam | Statement: [Motok, hasGeographicalDistribution, Upper Assam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeographicalDistribution Context triple: [Motok, hasGeographicalDistribution, Upper Assam]
-
A.
geographicDistribution
chosen
Indicates the spatial range or area over which something occurs, exists, or is found.
-
B.
geographicDistributionComparedTo
Indicates how the geographic distribution of one entity compares to that of another, such as being broader, narrower, overlapping, or distinct in spatial extent.
-
C.
geographicRangeType
Indicates the kind of geographic range or distribution pattern that characterizes where an entity occurs or is found.
-
D.
biogeographicStatus
Indicates the relationship describing an entity’s distributional or origin status within a particular geographic or biogeographic region (e.g., native, introduced, endemic).
-
E.
geographicRangeTrend
Indicates how the spatial extent or distribution area of something is changing over time (e.g., expanding, contracting, or remaining stable).
- F. None of above.
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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 27, 2026, 8:48 a.m.