Triple
T37641927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAMRIA |
E936636
|
entity |
| Predicate | typeOfMapProduced |
P42815
|
FINISHED |
| Object | topographic maps |
—
|
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: topographic maps | Statement: [NAMRIA, typeOfMapProduced, topographic maps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMapProduced Context triple: [NAMRIA, typeOfMapProduced, topographic maps]
-
A.
hasMapType
chosen
Indicates that one entity is associated with a specific type or category of map.
-
B.
typeOfDataProduced
Indicates the kind or category of data that is generated as a result of a process, action, or system.
-
C.
mappingType
Indicates the specific kind or category of correspondence established between two related elements or representations.
-
D.
hasMapBy
Indicates that one entity is represented, depicted, or detailed by a specific map associated with it.
-
E.
producedArtifactType
Indicates the type or category of artifact that is created or generated as the result of a production process or activity.
- 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.