Triple
T12660958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sokolniki station |
E302422
|
entity |
| Predicate | isOnOldestLineOfSystem |
P106058
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sokolniki station, isOnOldestLineOfSystem, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnOldestLineOfSystem Context triple: [Sokolniki station, isOnOldestLineOfSystem, true]
-
A.
isOneOfNewestLinesInSystem
Indicates that the entity is among the most recently introduced or added lines within the system.
-
B.
isOldestLineOf
Indicates that one line is the earliest or first-established among a set of related lines.
-
C.
isFirstLineOfSystem
Indicates that one entity is the initial or starting line within a defined system or system representation.
-
D.
isOldest
Indicates that one entity has a greater age than all other relevant entities in the comparison set.
-
E.
isOldestMajor
Indicates that the subject is the oldest entity among a specified group that meets a defined age or maturity threshold.
- F. None of above. chosen
Provenance (4 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96179c7648190a05a13991d62bebb |
completed | April 10, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:19 p.m.