Triple
T30977849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papal conclave, 1559 |
E789277
|
entity |
| Predicate | electedPersonBirthPlace |
P1
|
FINISHED |
| Object | Milan |
—
|
NE NERFINISHED |
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: Milan | Statement: [Papal conclave, 1559, electedPersonBirthPlace, Milan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electedPersonBirthPlace Context triple: [Papal conclave, 1559, electedPersonBirthPlace, Milan]
-
A.
electedPersonBirthName
Indicates that the object is the birth name of the person who was elected to a position or office.
-
B.
placeOfBirth
chosen
Indicates the location where a person or other entity was born.
-
C.
cityOfBirthOfNamesake
Indicates that one entity is the city where the namesake (the person or entity after whom something is named) of another entity was born.
-
D.
creatorPlaceOfBirth
Indicates that the place specified is the location where the creator of an entity was born.
-
E.
honorsPersonBornIn
Indicates that one entity pays tribute or recognition to a person who was born in a specified place or time.
- 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_69f224c4831c8190be53924ec25a150a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
Created at: April 29, 2026, 8:55 p.m.