Triple
T2949102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mashpee Neck |
E79574
|
entity |
| Predicate | hasTypicalHousingType |
P40076
|
FINISHED |
| Object | single-family homes |
—
|
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: single-family homes | Statement: [Mashpee Neck, hasTypicalHousingType, single-family homes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalHousingType Context triple: [Mashpee Neck, hasTypicalHousingType, single-family homes]
-
A.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
B.
housingPattern
chosen
Indicates the typical arrangement or distribution of housing units or residential structures within a given area or context.
-
C.
hasGeneralHouse
Indicates that an entity possesses or is associated with a general-purpose house or primary residential building.
-
D.
typicalUnitType
Indicates that one entity is the standard or commonly used unit type associated with measuring or expressing the other entity.
-
E.
hasHouseholdType
Indicates the type or category of household associated with an entity (e.g., family, single-person, shared, etc.).
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b6cab88190b4dee7e5ec9347e5 |
completed | March 8, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69ad960a70ac8190816b5ae3e8631031 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.