Triple
T34857558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum of Permafrost |
E1004767
|
entity |
| Predicate | locatedInOrGeographicLocation |
P40
|
FINISHED |
| Object | Arctic Circle |
E7000
|
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: Arctic Circle | Statement: [Museum of Permafrost, locatedInOrGeographicLocation, Arctic Circle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInOrGeographicLocation Context triple: [Museum of Permafrost, locatedInOrGeographicLocation, Arctic Circle]
-
A.
locatedIn
chosen
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
B.
likelyLocatedIn
Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
-
C.
hasGeographicalLocation
Indicates that an entity is situated in, or associated with, a specific geographical place or area.
-
D.
timeLocatedIn
Indicates that an event, state, or entity occurs, exists, or is valid within a specified time or temporal interval.
-
E.
locatedWith
Indicates that two or more entities are situated together in the same place or spatial context.
- F. None of above.
Provenance (4 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37795ac1b48190954842e8cc50d254 |
completed | June 21, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.