Triple
T24267185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sprague Electric Company |
E604870
|
entity |
| Predicate | plantBecame |
P155385
|
FINISHED |
| Object | MASS MoCA campus |
—
|
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: MASS MoCA campus | Statement: [Sprague Electric Company, plantBecame, MASS MoCA campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plantBecame Context triple: [Sprague Electric Company, plantBecame, MASS MoCA campus]
-
A.
involvesPlant
Indicates that the relationship or action includes or pertains to a plant as a participating entity.
-
B.
plant
Indicates that an entity places or sets something firmly in or on a location, often so it will grow, remain fixed, or be established there.
-
C.
plantActivity
Indicates an action, process, or behavior being carried out by a plant or involving plant-related functions.
-
D.
examplePlant
Indicates that one entity serves as an illustrative or representative plant instance for another entity or context.
-
E.
plantedIn
Indicates that one entity has been placed or sown into another entity as its growing or containing medium.
- F. None of above. chosen
Provenance (4 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_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d55b4708190ad819403011cf64f |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:06 a.m.