Triple
T7991670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herald Square Park |
E186020
|
entity |
| Predicate | hasTables |
P80219
|
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: [Herald Square Park, hasTables, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTables Context triple: [Herald Square Park, hasTables, yes]
-
A.
hasTableService
Indicates that a place or establishment provides table service, where staff serve customers at their tables rather than requiring self-service.
-
B.
hasColumns
Indicates that one entity possesses or is characterized by a set of columns associated with it.
-
C.
hasTableConfiguration
Indicates that an entity is associated with or defined by a specific arrangement or setup of a table and its properties.
-
D.
hasDatabase
Indicates that an entity possesses, uses, or is associated with a specific database.
-
E.
hasTab
Indicates that one entity includes, contains, or is associated with a tab element or tabbed section related to another entity.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c712d0481908d163d2509d054fa |
completed | March 31, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69cb0483d3b48190b250c7603d747bca |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:16 p.m.