Triple
T10434246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American University Park |
E245996
|
entity |
| Predicate | hasTypeOfResident |
P35173
|
FINISHED |
| Object | families |
—
|
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: families | Statement: [American University Park, hasTypeOfResident, families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfResident Context triple: [American University Park, hasTypeOfResident, families]
-
A.
hasNonHumanResident
Indicates that a place or location is inhabited or occupied by one or more non-human entities.
-
B.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
C.
hasHouseholdType
chosen
Indicates the type or category of household associated with an entity (e.g., family, single-person, shared, etc.).
-
D.
residenceStatus
Indicates the type or condition of an entity’s living arrangement or place of residence in relation to a specified location.
-
E.
hasResidenceFeature
Indicates that a residence possesses or is characterized by a specific feature or attribute.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea65afe08190b91260c9267a0f14 |
completed | April 7, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69d4dfbc546881908f312c66ee195f79 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:14 p.m.