Triple
T2331543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komsomolskaya |
E44212
|
entity |
| Predicate | isFamous |
P27257
|
FINISHED |
| Object | tourist attraction |
—
|
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: tourist attraction | Statement: [Komsomolskaya, isFamous, tourist attraction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFamous Context triple: [Komsomolskaya, isFamous, tourist attraction]
-
A.
fameStatus
chosen
Indicates the level or state of public recognition or renown associated with an entity.
-
B.
hasNotablePersonAsFace
Indicates that an entity is publicly represented or symbolized by a specific notable person, such as a spokesperson, ambassador, or brand face.
-
C.
hasNotablePersonWithSurname
Indicates that an entity is associated with at least one notable person who bears a specified surname.
-
D.
wasProminentIn
Indicates that an entity was notably active, influential, or widely recognized within a particular field, context, or time period.
-
E.
isPopularWith
Indicates that one entity is well-liked, favored, or widely accepted by another entity or group.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abcc30c5e881908c5d526d7e7491d0 |
completed | March 7, 2026, 6:56 a.m. |
| PD | Predicate disambiguation | batch_69abc5926d048190a535e3f23d41de2a |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:51 p.m.