Triple
T28660453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston–Manchester |
E725452
|
entity |
| Predicate | containsFullPowerStationsIn |
P65239
|
FINISHED |
| Object | Boston, Massachusetts |
—
|
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, Massachusetts | Statement: [Boston–Manchester, containsFullPowerStationsIn, Boston, Massachusetts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsFullPowerStationsIn Context triple: [Boston–Manchester, containsFullPowerStationsIn, Boston, Massachusetts]
-
A.
hasNearbyPowerPlants
Indicates that one entity is located close to one or more power plants.
-
B.
oneOfLargestPowerStationsIn
Indicates that a power station is among the largest power stations located within a specified area or region.
-
C.
includesPowerGeneration
chosen
Indicates that an entity encompasses or involves facilities, systems, or activities related to generating electrical or other forms of power.
-
D.
hasPowerCapacity
Indicates that an entity possesses a specified amount or limit of power it can produce, handle, or store.
-
E.
hasPowerHouse
Indicates that one entity possesses or contains a primary energy-producing or central operational unit (a "power house") associated with it.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: April 28, 2026, 4:57 a.m.