Triple
T23982845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centenario gold coin |
E604551
|
entity |
| Predicate | introducedToMark |
P154130
|
FINISHED |
| Object | centenary of the start of the Mexican War of Independence |
—
|
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: centenary of the start of the Mexican War of Independence | Statement: [Centenario gold coin, introducedToMark, centenary of the start of the Mexican War of Independence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedToMark Context triple: [Centenario gold coin, introducedToMark, centenary of the start of the Mexican War of Independence]
-
A.
introducedTo
Indicates that one entity caused or facilitated a first meeting or formal presentation between another entity and a third party.
-
B.
wasMarkedBy
Indicates that an entity bears a mark, sign, or indication that was applied or caused by another entity.
-
C.
introducedToService
Indicates that one entity has presented or brought another entity into contact with a particular service for the first time.
-
D.
oftenIntroducedBy
Indicates that one entity is frequently presented, mentioned, or brought into context by another entity.
-
E.
usedToMark
Indicates that one entity serves as a marker, label, or indicator for another entity.
- F. None of above. chosen
Provenance (4 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2bf02fc8190bebd59f149e0bbfc |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 9:29 p.m.