Triple
T87446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mao Zedong |
E1757
|
entity |
| Predicate | foundingDateOfFoundedEntity |
P41
|
FINISHED |
| Object | 1949-10-01 |
—
|
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: 1949-10-01 | Statement: [Mao Zedong, foundingDateOfFoundedEntity, 1949-10-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundingDateOfFoundedEntity Context triple: [Mao Zedong, foundingDateOfFoundedEntity, 1949-10-01]
-
A.
foundedOn
chosen
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
B.
foundedInYearApprox
Indicates that an entity was established or came into existence around an approximate year, rather than on a precisely known date.
-
C.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
-
D.
foundedAfter
Indicates that one entity was founded at a later time than another entity.
-
E.
foundedBefore
Indicates that one entity was established or created at an earlier time than the other entity.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2503d304c8190a0034ffa4a38a501 |
completed | Feb. 28, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69a24eb6da2c8190a33d144d219f7abe |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.