Triple
T10330139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WMS |
E242851
|
entity |
| Predicate | supportsInfoQueryOnRenderedMap |
P93454
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [WMS, supportsInfoQueryOnRenderedMap, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsInfoQueryOnRenderedMap Context triple: [WMS, supportsInfoQueryOnRenderedMap, true]
-
A.
mapCoverage
Indicates the extent or area that is represented, covered, or included by a particular map.
-
B.
hasMapframe
Indicates that an entity is associated with an embedded, interactive map frame representation of its geographic location or area.
-
C.
isOnSystemMap
Indicates that an entity is currently displayed or represented on a particular system map.
-
D.
hasImageryType
Indicates that one entity is associated with a specific kind or category of imagery (such as visual style, medium, or representation type) used to depict or describe it.
-
E.
mapDisplay
Indicates that something is being visually represented or shown on a map interface.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7fb77348190ac8ff887f6f03450 |
completed | April 7, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f760e88190abea6dcc4f04f2c1 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:52 a.m.