Triple
T17735363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewis Glacier |
E442698
|
entity |
| Predicate | hasMapping |
P78070
|
FINISHED |
| Object | topographic surveys |
—
|
LITERAL 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: topographic surveys | Statement: [Lewis Glacier, hasMapping, topographic surveys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMapping Context triple: [Lewis Glacier, hasMapping, topographic surveys]
-
A.
hasMappingProperty
Indicates that there exists a defined correspondence or association between elements of one set, structure, or representation and elements of another.
-
B.
hasOfficialMapping
Indicates that there exists an established, authoritative correspondence or translation between one entity and another.
-
C.
hasMapType
Indicates that one entity is associated with a specific type or category of map.
-
D.
hasMapReference
Indicates that an entity is associated with a specific map or map location reference.
-
E.
hasMapBy
chosen
Indicates that one entity is represented, depicted, or detailed by a specific map associated with it.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478eaff6c81909c7bd438b8c6c987 |
completed | April 19, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:08 a.m.