Triple
T195959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiffany & Co. flagship store |
E3819
|
entity |
| Predicate | cityLandmarkStatus |
P3712
|
FINISHED |
| Object | iconic New York retail landmark |
—
|
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: iconic New York retail landmark | Statement: [Tiffany & Co. flagship store, cityLandmarkStatus, iconic New York retail landmark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityLandmarkStatus Context triple: [Tiffany & Co. flagship store, cityLandmarkStatus, iconic New York retail landmark]
-
A.
heritageStatus
Indicates that an entity holds a particular cultural, historical, or natural heritage designation or protection status.
-
B.
isHistoricPlace
Indicates that a place holds recognized historical significance, often due to its age, events, or cultural importance.
-
C.
hasStatue
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
-
D.
deFactoStatus
chosen
Indicates that one entity holds a role, position, or status in practice or by custom, even if it is not formally or legally recognized.
-
E.
hasHistoricSite
Indicates that an entity possesses, contains, or is associated with a place recognized for its historical significance.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a25983b49c819080f7e161904c53da |
completed | Feb. 28, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69a25677da14819094cd02868fd30c83 |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.