Triple
T31562571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippsburg Nuclear Power Plant |
E805309
|
entity |
| Predicate | reactorNetCapacity_Philippsburg2 |
P172579
|
FINISHED |
| Object | 1468 MW |
—
|
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: 1468 MW | Statement: [Philippsburg Nuclear Power Plant, reactorNetCapacity_Philippsburg2, 1468 MW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reactorNetCapacity_Philippsburg2 Context triple: [Philippsburg Nuclear Power Plant, reactorNetCapacity_Philippsburg2, 1468 MW]
-
A.
hasNumberOfFerrySlips
Indicates the specific count of ferry slips associated with or available at a given entity.
-
B.
transmissionCapacity
Indicates the maximum amount of data or power that can be transmitted through a channel, link, or system over a given period.
-
C.
numberOfBerths
Indicates the quantity of berths (sleeping places or docking spaces) associated with an entity.
-
D.
crossBorderCapacity
Indicates the maximum amount of flow (such as goods, people, or resources) that can move between two regions or jurisdictions across their shared border.
-
E.
hasBerths
Indicates that one entity provides or contains sleeping or docking berths for another entity.
- 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_69f348d2ee94819091918d1789398c29 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ac1ed23c8190ace57ffc9d8a3dc6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aba8fba48190bc1a17117244cae1 |
completed | May 3, 2026, 1:58 a.m. |
Created at: April 30, 2026, 10:16 p.m.