Triple
T1430152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Memorial Day for Nanjing Massacre Victims |
E30424
|
entity |
| Predicate | timeOfMainCeremony |
P14854
|
FINISHED |
| Object | morning of December 13 |
—
|
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: morning of December 13 | Statement: [National Memorial Day for Nanjing Massacre Victims, timeOfMainCeremony, morning of December 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfMainCeremony Context triple: [National Memorial Day for Nanjing Massacre Victims, timeOfMainCeremony, morning of December 13]
-
A.
ceremonyTiming
chosen
Indicates the temporal relationship specifying when a ceremony occurs or is scheduled to occur.
-
B.
ceremonyHeldOn
Indicates that a specific ceremony took place on a particular date or day.
-
C.
ceremonyHeld
Indicates that a formal ceremony or ritual event has taken place at a particular time and/or location.
-
D.
hasOpeningCeremony
Indicates that an event or entity includes or is associated with a formal opening ceremony.
-
E.
ceremonyNumber
Indicates the specific ordinal or identifying number assigned to a particular ceremony within a set or sequence of ceremonies.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.