Triple
T16632718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goo Lagoon |
E404115
|
entity |
| Predicate | hasShorelineMaterial |
P123653
|
FINISHED |
| Object | goo |
—
|
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: goo | Statement: [Goo Lagoon, hasShorelineMaterial, goo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShorelineMaterial Context triple: [Goo Lagoon, hasShorelineMaterial, goo]
-
A.
hasShoreFeature
Indicates that a shore or coastline possesses a specific physical or environmental feature.
-
B.
hasShorelineUse
Indicates that a geographic area or property is used for a particular type of activity or purpose along its shoreline.
-
C.
hasShorelineMarker
Indicates that a location or area is marked or delineated by a designated shoreline indicator or boundary marker.
-
D.
hasShoreOn
Indicates that one geographic entity borders or is directly adjacent to the shore of another body of water.
-
E.
hasShoreOrientation
Indicates the directional orientation of a shoreline relative to a reference frame (e.g., compass direction or facing).
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e704c08190a28286ac12165ea5 |
completed | April 18, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.