Triple
T32988980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Island Pond (Derry, New Hampshire) |
E844027
|
entity |
| Predicate | hasPropertyTypeOnShore |
P113098
|
FINISHED |
| Object | residential properties |
—
|
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: residential properties | Statement: [Island Pond (Derry, New Hampshire), hasPropertyTypeOnShore, residential properties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPropertyTypeOnShore Context triple: [Island Pond (Derry, New Hampshire), hasPropertyTypeOnShore, residential properties]
-
A.
hasShoreOn
Indicates that one geographic entity borders or is directly adjacent to the shore of another body of water.
-
B.
hasStructureOnShore
Indicates that a structure is located on or directly adjacent to the shore of a body of water.
-
C.
isShoreEstablishmentOf
Indicates that one entity is a land-based (shore) facility that belongs to, supports, or is administratively part of another maritime or naval organization or unit.
-
D.
propertyTypeAlongShore
chosen
Indicates the type or classification of a property specifically in relation to its location along a shoreline.
-
E.
hasShoreFeature
Indicates that a shore or coastline possesses a specific physical or environmental feature.
- 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_69f3494d99988190b502c68926af2c4d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a013a251b4081908b43d85dd95586c5 |
completed | May 11, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_6a0137e4ea988190812173a5ff044098 |
completed | May 11, 2026, 1:59 a.m. |
Created at: May 1, 2026, 1:22 a.m.