Triple
T23325100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rockefeller Center Christmas Tree |
E591267
|
entity |
| Predicate | firstOfficialTree |
P151874
|
FINISHED |
| Object | 1933 |
—
|
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: 1933 | Statement: [Rockefeller Center Christmas Tree, firstOfficialTree, 1933]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOfficialTree Context triple: [Rockefeller Center Christmas Tree, firstOfficialTree, 1933]
-
A.
nationalTree
Indicates that a particular tree species is officially designated as the national tree of a country or region.
-
B.
市の木
Indicates the officially designated tree that represents a particular city.
-
C.
originalTreeFell
Indicates that the initially existing or primary tree has fallen down from its standing position.
-
D.
firstOfficialName
Indicates the original or primary official name formally assigned to an entity before any subsequent name changes or alternatives.
-
E.
firstCommercialPlant
Indicates that the subject is the first commercial-scale plant or facility of its kind to be established or operated.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19787ee90819083416193efaab20f |
completed | April 29, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:08 p.m.