Triple
T27195535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkshire Mall (Lanesborough, Massachusetts) |
E683586
|
entity |
| Predicate | hadTenant |
P65700
|
FINISHED |
| Object | Food court |
—
|
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: Food court | Statement: [Berkshire Mall (Lanesborough, Massachusetts), hadTenant, Food court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadTenant Context triple: [Berkshire Mall (Lanesborough, Massachusetts), hadTenant, Food court]
-
A.
tenantedBy
chosen
Indicates that a property, land, or space is occupied or leased by a specific tenant.
-
B.
laterOccupant
Indicates that one entity occupied or held a position in a place or role after another entity had previously done so.
-
C.
tenantBecame
Indicates that an entity transitioned into the role or status of a tenant at a particular time or under specific conditions.
-
D.
mainTenant
Indicates that the subject is the primary tenant responsible for a property or rental agreement, as opposed to a subtenant or secondary occupant.
-
E.
intendedTenant
Indicates that one entity is designated or expected to occupy or lease another entity (such as a property) as a tenant.
- 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_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f625af81808190af840a2eab1aff15 |
completed | May 2, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:34 a.m.