Triple
T34793824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transverse Mercator |
E1003014
|
entity |
| Predicate | zoneNumbering |
P181623
|
FINISHED |
| Object | used in UTM to identify longitudinal strips |
—
|
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: used in UTM to identify longitudinal strips | Statement: [Transverse Mercator, zoneNumbering, used in UTM to identify longitudinal strips]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoneNumbering Context triple: [Transverse Mercator, zoneNumbering, used in UTM to identify longitudinal strips]
-
A.
zoneNumberRange
Indicates that there is an associated range of zone numbers, typically specifying the minimum and maximum zone identifiers applicable in a given context.
-
B.
zoneCount
Indicates the number of distinct zones associated with or contained within a given entity or context.
-
C.
zoneLabel
Indicates that a specific label or name is assigned to a defined zone or area within a larger context.
-
D.
regionNumber
Indicates that an entity is assigned to or associated with a specific numbered region within a larger spatial or organizational division.
-
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.