Triple
T19907324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zone System |
E478452
|
entity |
| Predicate | lowestZone |
P137774
|
FINISHED |
| Object | Zone 0 |
—
|
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: Zone 0 | Statement: [Zone System, lowestZone, Zone 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowestZone Context triple: [Zone System, lowestZone, Zone 0]
-
A.
lowestPoint
Indicates that one entity is the point with the minimum vertical position or value relative to another entity or within a specified context.
-
B.
lowestWorld
Indicates that the referenced world has the minimal value (e.g., in rank, cost, or some ordering) among a set of worlds.
-
C.
lowestRank
Indicates that the subject has the least or worst rank in an ordered set compared to all other related entities.
-
D.
lowerLocation
Indicates that one entity is located physically below or at a lower vertical position relative to another entity.
-
E.
lowestPointsNear
Indicates that one entity identifies or specifies the locations of the lowest points in elevation or value in the vicinity of another entity.
- F. None of above. chosen
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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6598cc5108190bca2a47c9f8ef70f |
completed | April 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:52 p.m.