Triple
T569567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Realty Investment Trust |
E13630
|
entity |
| Predicate | hasPortfolioType |
P15055
|
FINISHED |
| Object | shopping centers |
—
|
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: shopping centers | Statement: [Federal Realty Investment Trust, hasPortfolioType, shopping centers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPortfolioType Context triple: [Federal Realty Investment Trust, hasPortfolioType, shopping centers]
-
A.
hasDeckType
Indicates that an entity possesses or is associated with a specific type or category of deck.
-
B.
assetType
chosen
Indicates the specific category or classification of an asset within a broader asset framework or system.
-
C.
hasPortico
Indicates that one entity (typically a building or structure) features a portico as part of its architectural design.
-
D.
hasAffiliationType
Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
-
E.
hasPetrovType
Indicates that an entity (typically a spacetime or gravitational field) is classified as having a specific Petrov type in the Petrov classification of its Weyl tensor.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b057e708190b4e5975516e58993 |
completed | March 1, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69a494c2caac819086ab316fa49d324c |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.