Triple
T5503700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martyrs’ Cemetery of the Chinese People’s Volunteers |
E144386
|
entity |
| Predicate | eraOfConflict |
P32860
|
FINISHED |
| Object | 1950–1953 |
—
|
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: 1950–1953 | Statement: [Martyrs’ Cemetery of the Chinese People’s Volunteers, eraOfConflict, 1950–1953]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfConflict Context triple: [Martyrs’ Cemetery of the Chinese People’s Volunteers, eraOfConflict, 1950–1953]
-
A.
conflictEra
chosen
Indicates that two entities are associated with the same historical period or era of conflict.
-
B.
warPeriod
Indicates a time span during which a state of war or armed conflict is ongoing between parties.
-
C.
militaryConflict
Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
-
D.
nomDeGuerre
Indicates that an entity uses or is known by a pseudonymous or war-related alias instead of their real name.
-
E.
majorWar
Indicates a large-scale, intense armed conflict between major powers or involving substantial military forces and widespread impact.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f0d21848190ae8c41561eca6342 |
completed | March 22, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69c01b07bde08190b3933b96bdc70dd5 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:32 p.m.