Triple
T16803585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tracy Arm |
E408419
|
entity |
| Predicate | hasIceCondition |
P4994
|
FINISHED |
| Object | often filled with floating ice |
—
|
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: often filled with floating ice | Statement: [Tracy Arm, hasIceCondition, often filled with floating ice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIceCondition Context triple: [Tracy Arm, hasIceCondition, often filled with floating ice]
-
A.
hasSnowAndIce
Indicates that the subject is covered with or contains both snow and ice.
-
B.
hasDeicingServices
Indicates that deicing services are available or provided for the referenced entity (such as an aircraft, vehicle, or facility).
-
C.
hasIceSurface
Indicates that an entity possesses or is characterized by a surface composed primarily of ice.
-
D.
hasIcebergs
chosen
Indicates that one entity (typically a body of water or region) contains or is characterized by the presence of icebergs.
-
E.
isIceFree
Indicates that a location, surface, or object is not covered by ice or free from ice presence.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2ca46f88190b56e81d75012496c |
completed | April 18, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69e319d0fdb8819088425bd82431640f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:22 a.m.