Triple
T36187186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Ring of the Moscow Railway |
E1046877
|
entity |
| Predicate | formsTransportRing |
P26846
|
FINISHED |
| Object | around central districts of Moscow |
—
|
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: around central districts of Moscow | Statement: [Little Ring of the Moscow Railway, formsTransportRing, around central districts of Moscow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsTransportRing Context triple: [Little Ring of the Moscow Railway, formsTransportRing, around central districts of Moscow]
-
A.
transportedGroup
Indicates that one entity moved or carried a group of entities from one location to another.
-
B.
formsLoopAround
chosen
Indicates that one entity extends or curves so as to create a closed loop encircling or surrounding another entity or region.
-
C.
transportInterface
Indicates a relationship where one entity serves as the medium or mechanism through which another entity is transported or conveyed.
-
D.
transportFrom
Indicates that something or someone is moved or carried away starting from a specified origin location.
-
E.
formerTransport
Indicates that an entity previously served as a means of transportation for another entity but no longer does so.
- 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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: May 3, 2026, 4:08 p.m.