Triple
T12100076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bar Beach (former coastline) |
E288167
|
entity |
| Predicate | reclamationType |
P96761
|
FINISHED |
| Object | shoreline extension |
—
|
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: shoreline extension | Statement: [Bar Beach (former coastline), reclamationType, shoreline extension]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reclamationType Context triple: [Bar Beach (former coastline), reclamationType, shoreline extension]
-
A.
hasLandReclamation
Indicates that an entity has carried out, is involved in, or is characterized by the process of creating new land from oceans, rivers, or other water bodies.
-
B.
hasReclamationType
chosen
Indicates the specific method or category of reclamation associated with an entity, such as how land, materials, or resources are recovered or restored.
-
C.
reparationsType
Indicates the specific category or form of reparations involved in a reparative action or obligation between entities.
-
D.
reclamationStartDate
Indicates the date on which a reclamation process or activity is initiated.
-
E.
remnantType
Indicates the specific kind or category of remnant that results from or is associated with an entity or process.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.