Triple
T34793803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transverse Mercator |
E1003014
|
entity |
| Predicate | zoneDesign |
P181622
|
FINISHED |
| Object | narrow longitudinal zones |
—
|
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: narrow longitudinal zones | Statement: [Transverse Mercator, zoneDesign, narrow longitudinal zones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoneDesign Context triple: [Transverse Mercator, zoneDesign, narrow longitudinal zones]
-
A.
zoneType
Indicates the classification or category of a zone that specifies its type or functional designation.
-
B.
zoneConcept
Indicates that one entity is associated with, defined by, or operates within a particular zone or conceptual area specified by another entity.
-
C.
zone
Indicates that an entity is located within, associated with, or assigned to a particular geographic or conceptual area or zone.
-
D.
zoneLabel
Indicates that a specific label or name is assigned to a defined zone or area within a larger context.
-
E.
zoneBased
Indicates that the relationship or action is determined or constrained by specific geographic or logical zones.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.