Triple
T26801741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Children’s Store on Lubyanka |
E671120
|
entity |
| Predicate | hasRooftopObservationDeck |
P87316
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Central Children’s Store on Lubyanka, hasRooftopObservationDeck, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRooftopObservationDeck Context triple: [Central Children’s Store on Lubyanka, hasRooftopObservationDeck, yes]
-
A.
hasObservationDeckAccess
Indicates that an entity is permitted to enter or use an observation deck.
-
B.
hasObservationDeckName
Indicates that an observation deck is associated with a specific name or title.
-
C.
hasObservationDeckStatus
chosen
Indicates whether something possesses an observation deck and, if so, what its current status or condition is.
-
D.
numberOfObservationDecks
Indicates the count of observation decks associated with or present in an entity.
-
E.
towerObservationDeck
Indicates that an observation deck is located on or is part of a tower.
- 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_69eeb31fbd888190a82dac5822e453bc |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 4:23 a.m.