Triple
T29723275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corey family |
E752113
|
entity |
| Predicate | hasResidenceLocation |
P22499
|
FINISHED |
| Object | Boston |
—
|
NE NERFINISHED |
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: Boston | Statement: [Corey family, hasResidenceLocation, Boston]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidenceLocation Context triple: [Corey family, hasResidenceLocation, Boston]
-
A.
hasResidenceIn
chosen
Indicates that an entity lives or maintains a primary dwelling in a specified location.
-
B.
hasCanonicalResidence
Indicates that an entity has an officially recognized primary place of residence or domicile.
-
C.
hasResidenceOn
Indicates that one entity’s place of residence is located on or along another entity, such as a street, road, or other linear feature.
-
D.
hasResidency
Indicates that an entity holds an official, legally recognized residential status in a particular place or jurisdiction.
-
E.
hasSignificantResidence
Indicates that an entity maintains an important or primary place of residence at a specified location.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a001cc0ff588190bb7c8a6fd427d02b |
completed | May 10, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_6a001b3ea18c8190aeda7a32b2697490 |
completed | May 10, 2026, 5:44 a.m. |
Created at: April 28, 2026, 7:37 p.m.