Triple
T4830460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elfreth's Alley Museum |
E107931
|
entity |
| Predicate | occupiesBuildings |
P2574
|
FINISHED |
| Object | 124 Elfreth's Alley |
—
|
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: 124 Elfreth's Alley | Statement: [Elfreth's Alley Museum, occupiesBuildings, 124 Elfreth's Alley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupiesBuildings Context triple: [Elfreth's Alley Museum, occupiesBuildings, 124 Elfreth's Alley]
-
A.
occupies
chosen
Indicates that one entity takes up or resides within a physical or conceptual space belonging to or associated with another entity.
-
B.
publicBuilding
Indicates that a building is designated for public use or access, typically serving communal, governmental, or civic functions.
-
C.
occupiesFormerBuilding
Indicates that one entity is currently using or located in a building that was previously used or occupied by another entity.
-
D.
numberOfBuildings
Indicates the total count of buildings associated with a given entity or within a specified context.
-
E.
containsBuilding
Indicates that one location or area includes a building within its boundaries.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1fe130819087ae01309f96a0c8 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.