Triple
T14188719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norris Glacier |
E351650
|
entity |
| Predicate | hasAccumulationZone |
P6793
|
FINISHED |
| Object | upper glacier basin |
—
|
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: upper glacier basin | Statement: [Norris Glacier, hasAccumulationZone, upper glacier basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccumulationZone Context triple: [Norris Glacier, hasAccumulationZone, upper glacier basin]
-
A.
hasAccumulationAreaNear
Indicates that an accumulation area (such as collected material, fluid, or debris) is located in close proximity to a specified reference entity or region.
-
B.
hasZone
chosen
Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
-
C.
accumulatesIn
Indicates that a substance, object, or quantity gradually builds up or is stored within a specified location or container.
-
D.
hasFreeZone
Indicates that an entity includes or is associated with a designated free zone area where special rules, privileges, or exemptions apply.
-
E.
hasCollectionArea
Indicates that an entity is associated with a specific geographic or spatial area from which items, specimens, or data are collected.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61de509881908967ef5031f2a8d9 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:03 a.m.