Triple
T1814150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Hall |
E40397
|
entity |
| Predicate | hasRotunda |
P32589
|
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: [New York City Hall, hasRotunda, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRotunda Context triple: [New York City Hall, hasRotunda, yes]
-
A.
hasLegislatureBuilding
Indicates that one entity serves as the official legislature building or physical premises where the legislative body of another entity meets or operates.
-
B.
hasRectorateBuilding
Indicates that an institution possesses or is associated with a specific building that houses its rectorate (central administrative leadership).
-
C.
hasCityHall
Indicates that a location or administrative area possesses or is served by a specific city hall building or institution.
-
D.
inaugurationLocation
Indicates the place where an inauguration event occurs or is held.
-
E.
homeOfPresident
Indicates the location that serves as the residence of a president.
- F. None of above. chosen
Provenance (4 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d884548190a19cf3a6b5ae9d48 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aba67554788190b429f2b9f0a70310 |
completed | March 7, 2026, 4:15 a.m. |
Created at: March 4, 2026, 7:32 p.m.