Triple
T36937253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shi No Numa |
E913652
|
entity |
| Predicate | mapEnvironment |
P85507
|
FINISHED |
| Object | Japanese swamp outpost |
—
|
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: Japanese swamp outpost | Statement: [Shi No Numa, mapEnvironment, Japanese swamp outpost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapEnvironment Context triple: [Shi No Numa, mapEnvironment, Japanese swamp outpost]
-
A.
navigationEnvironment
chosen
Indicates the contextual conditions or surroundings in which navigation or movement from one place to another occurs.
-
B.
mapSystem
Indicates a relationship where one system is associated with or represented by a specific map or mapping framework.
-
C.
mapUse
Indicates a relationship where one entity uses, applies, or employs a map (or mapping) to perform an action or achieve a purpose.
-
D.
mapDisplay
Indicates that something is being visually represented or shown on a map interface.
-
E.
mapsFrom
Indicates that one entity is derived, transformed, or constructed based on data, structure, or content originating from another entity.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fdfc6a1c8190ba9fd414a889fc72 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.