Triple
T16443790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatch Unit 2 |
E399372
|
entity |
| Predicate | coLocatedWith |
P3158
|
FINISHED |
| Object | Hatch Unit 1 |
E397897
|
NE 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: Hatch Unit 1 | Statement: [Hatch Unit 2, coLocatedWith, Hatch Unit 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatch Unit 1 Context triple: [Hatch Unit 2, coLocatedWith, Hatch Unit 1]
-
A.
Hatch Unit 1
chosen
Hatch Unit 1 is a boiling water reactor unit at the Edwin I. Hatch Nuclear Power Plant in Georgia, generating commercial nuclear electricity for the regional grid.
-
B.
Hatch Unit 2
Hatch Unit 2 is a boiling water reactor unit at the Edwin I. Hatch Nuclear Power Plant in Georgia, generating commercial nuclear electricity for the regional grid.
-
C.
Hatch
Hatch is a surname most prominently associated with Orrin Hatch, the long-serving U.S. senator from Utah.
-
D.
Hatch Warren
Hatch Warren is a residential suburb located on the southwestern edge of Basingstoke in Hampshire, England.
-
E.
Hatch Labs
Hatch Labs is a mobile technology incubator and startup studio best known for creating the popular dating app Tinder.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cd9d474819091b4a80de1019c54 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458f8f3c8190ad5eff2ad2a32dea |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.