Triple
T27103954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | performed at New Year's Eve celebrations in Times Square |
E686513
|
entity |
| Predicate | performanceCountry |
P178275
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [performed at New Year's Eve celebrations in Times Square, performanceCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceCountry Context triple: [performed at New Year's Eve celebrations in Times Square, performanceCountry, United States]
-
A.
countryOfPopularPerformance
Indicates the country where a performance, work, or activity is especially popular or widely received.
-
B.
recordCountry
Indicates that an entity (such as a record or event) is associated with or originates from a specific country.
-
C.
continentRanking
Indicates the relative position or rank of an entity compared to others within the same continent.
-
D.
countryRanking
Indicates the relative position or rank assigned to a country within a specific ordered list or comparative evaluation.
-
E.
topRankedScoreCountry
Indicates that a country has the highest (top-ranked) score among a set of countries according to a specified scoring metric.
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70e854b9c8190a3416e2189e17742 |
completed | May 3, 2026, 8:59 a.m. |
Created at: April 27, 2026, 8:49 a.m.