Triple
T38060056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trafalgar Square Norwegian Christmas Tree |
E950315
|
entity |
| Predicate | lightingCeremonyIncludes |
P21211
|
FINISHED |
| Object | carol singing |
—
|
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: carol singing | Statement: [Trafalgar Square Norwegian Christmas Tree, lightingCeremonyIncludes, carol singing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightingCeremonyIncludes Context triple: [Trafalgar Square Norwegian Christmas Tree, lightingCeremonyIncludes, carol singing]
-
A.
ceremonyIncludes
chosen
Indicates that a particular ceremony contains, involves, or encompasses a specified component, activity, or element as part of its structure or proceedings.
-
B.
lightingOccasion
Indicates a relationship where a specific lighting setup or event is associated with a particular occasion or contextual situation.
-
C.
lightingEvents
Indicates events or actions involving the activation, change, or control of lighting.
-
D.
lightingAttendedBy
Indicates that a lighting-related event, activity, or installation is attended or participated in by a specified entity.
-
E.
awardsCeremony
Indicates that an event is a formal occasion where awards or honors are presented to recipients.
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.