Triple
T2452569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberty Bell |
E53738
|
entity |
| Predicate | currentDisplay |
P23550
|
FINISHED |
| Object | glass pavilion at Liberty Bell Center |
—
|
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: glass pavilion at Liberty Bell Center | Statement: [Liberty Bell, currentDisplay, glass pavilion at Liberty Bell Center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentDisplay Context triple: [Liberty Bell, currentDisplay, glass pavilion at Liberty Bell Center]
-
A.
displays
chosen
Indicates that one entity visually presents or shows another entity’s content or information.
-
B.
displayMode
Indicates how content or information is visually presented or arranged to the user.
-
C.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
-
D.
displayCount
Indicates the number of times something is shown or presented, typically within a given context or interface.
-
E.
currentSystem
Indicates that an entity is the system or configuration that is presently active or in use.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0aed2688190a18fe66b98d80e0b |
completed | March 7, 2026, 7:15 a.m. |
Created at: March 6, 2026, 9:43 p.m.