Triple
T11838010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muztagh Tower |
E281571
|
entity |
| Predicate | photoFamousFor |
P34247
|
FINISHED |
| Object | 1956 photograph by Vittorio Sella |
—
|
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: 1956 photograph by Vittorio Sella | Statement: [Muztagh Tower, photoFamousFor, 1956 photograph by Vittorio Sella]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photoFamousFor Context triple: [Muztagh Tower, photoFamousFor, 1956 photograph by Vittorio Sella]
-
A.
famousImage
chosen
Indicates that an image is widely recognized or well-known, typically due to its prominence, popularity, or cultural significance.
-
B.
organFamousFor
Indicates that an organ is widely recognized or notable for a particular characteristic, function, or association.
-
C.
famousIndividual
Indicates that an individual is widely known and recognized by a large number of people, typically for notable achievements, status, or public visibility.
-
D.
depictsNotablePerson
Indicates that one entity visually represents or portrays a person who is considered notable or significant.
-
E.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a63106b48190917817ec40d21a49 |
completed | April 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.