Triple
T8919371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longhua Martyrs Cemetery |
E212371
|
entity |
| Predicate | commemoratesPeriod |
P5669
|
FINISHED |
| Object | Republic of China era |
—
|
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: Republic of China era | Statement: [Longhua Martyrs Cemetery, commemoratesPeriod, Republic of China era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commemoratesPeriod Context triple: [Longhua Martyrs Cemetery, commemoratesPeriod, Republic of China era]
-
A.
periodCommemorated
chosen
Indicates that something serves to honor, remember, or mark a specific historical or temporal period.
-
B.
commemoratesEventOn
Indicates that one entity marks, honors, or observes a specific event on a particular date or occasion.
-
C.
commemoratedFor
Indicates that one entity is honored, remembered, or celebrated because of a particular action, achievement, event, or characteristic associated with it.
-
D.
commemoratedSince
Indicates that a commemoration of one entity for another has been in effect starting from a specific point in time.
-
E.
commemoratedOn
Indicates that something is remembered, honored, or celebrated on a specific date or occasion.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6613639881909090d060f388a865 |
completed | April 1, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed0ef3c81908cc69eac852ee12a |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:56 p.m.