Triple
T16549158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gornergrat |
E402023
|
entity |
| Predicate | overlooks |
P1323
|
FINISHED |
| Object | Castor |
E145808
|
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: Castor | Statement: [Gornergrat, overlooks, Castor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castor Context triple: [Gornergrat, overlooks, Castor]
-
A.
Castor
Castor is a figure from Greek mythology, one of the Dioscuri twins (with his brother Pollux), known as a patron of sailors and horsemen.
-
B.
Castor
chosen
Castor is a prominent peak in the Pennine Alps on the border between Switzerland and Italy, known for its twin-summit pairing with the nearby mountain Pollux.
-
C.
Castor
Castor is a major early expansion for the sci-fi MMORPG EVE Online that introduced significant gameplay features and content updates to the universe.
-
D.
Castor
Castor is a programming language created by German computer pioneer Konrad Zuse as part of his early work on high-level languages.
-
E.
Procas
Procas is a figure from Roman mythology, traditionally regarded as an early king of Alba Longa and an ancestor of Romulus and Remus.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc323a88190b5c2a34de0a3c7f0 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b6ca44819085145eb48356e7b4 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.