Triple
T7720330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harbour Beach |
E174990
|
entity |
| Predicate | hasSand |
P78771
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Harbour Beach, hasSand, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSand Context triple: [Harbour Beach, hasSand, yes]
-
A.
hasSandColor
Indicates that one entity possesses or exhibits the sand-like color of another entity or color value.
-
B.
hasSedimentsThat
Indicates that one entity contains, includes, or is associated with specific sediments described by the related entity.
-
C.
hasDunes
Indicates that one entity (typically a geographic area or surface) possesses or is characterized by sand dunes.
-
D.
hasShoreOn
Indicates that one geographic entity borders or is directly adjacent to the shore of another body of water.
-
E.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7074cd1f081908d5e8951660e7271 |
completed | March 27, 2026, 10:40 p.m. |
Created at: March 27, 2026, 4:05 p.m.