Triple
T21832980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weisshorn |
E539045
|
entity |
| Predicate | parentPeak |
P1319
|
FINISHED |
| Object | Dom |
—
|
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: Dom | Statement: [Weisshorn, parentPeak, Dom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dom Context triple: [Weisshorn, parentPeak, Dom]
-
A.
Dom
chosen
Dom is one of the highest and most prominent mountains in the Swiss Alps, renowned for its imposing pyramid shape and challenging climbing routes.
-
B.
Dom
Dom is a Portuguese honorific title traditionally used for nobility, royalty, and certain high-ranking religious figures.
-
C.
Dom
Dom is the street-racing, family-obsessed antihero and central protagonist of the Fast & Furious film franchise, portrayed by Vin Diesel.
-
D.
Dom
Dom is the central protagonist of the 2017 British horror film "The Ritual," a grieving friend whose psychological and physical ordeal drives much of the story’s tension and emotional weight.
-
E.
Dom
Dom are a traditionally itinerant ethnic group found across the Middle East, North Africa, and parts of South Asia, known for distinct languages, crafts, and musical traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a4d2d0819088ded045caeab52d |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.