Triple
T12748397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rotunda (Morgan Library & Museum) |
E304667
|
entity |
| Predicate | connectsSpace |
P2564
|
FINISHED |
| Object | historic library rooms of the Morgan Library & Museum |
—
|
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: historic library rooms of the Morgan Library & Museum | Statement: [Rotunda (Morgan Library & Museum), connectsSpace, historic library rooms of the Morgan Library & Museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsSpace Context triple: [Rotunda (Morgan Library & Museum), connectsSpace, historic library rooms of the Morgan Library & Museum]
-
A.
connectsArea
chosen
Indicates that one area serves as a link or passage between two other areas, enabling movement or interaction between them.
-
B.
connectsEnvironment
Indicates that one entity establishes or provides a link or interface between different environments or environmental contexts.
-
C.
connectsUnder
Indicates that one entity forms a connection to another entity by passing beneath or under it.
-
D.
mainSpaceStation
Indicates that one entity serves as the primary or central space station associated with another entity.
-
E.
connectsMission
Indicates that one entity establishes or maintains a link or association between missions.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:27 p.m.