Triple
T1814143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Hall |
E40397
|
entity |
| Predicate | NYCLandmarkID |
P32588
|
FINISHED |
| Object | 0024 |
—
|
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: 0024 | Statement: [New York City Hall, NYCLandmarkID, 0024]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NYCLandmarkID Context triple: [New York City Hall, NYCLandmarkID, 0024]
-
A.
designatedNYCLandmark
Indicates that an entity has been officially designated as a New York City landmark by the appropriate municipal authority.
-
B.
isBoroughSeatOf
Indicates that a place serves as the administrative center or seat of government for a specific borough.
-
C.
cityLandmarkID
Indicates that a specific landmark is uniquely identified as being located within a particular city.
-
D.
brooklynTerminus
Indicates a relationship where a route, line, or service has its ending point or final stop located in Brooklyn.
-
E.
designatedChicagoLandmark
Indicates that an entity has been officially recognized and designated as a Chicago landmark.
- 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.