Triple
T29529715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flórez |
E749163
|
entity |
| Predicate | notableBearerFromCountry |
P130078
|
FINISHED |
| Object | Peru |
E2033
|
NE 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: Peru | Statement: [Flórez, notableBearerFromCountry, Peru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableBearerFromCountry Context triple: [Flórez, notableBearerFromCountry, Peru]
-
A.
notableBearerNationality
Indicates that the subject has a notable bearer whose nationality is the specified object.
-
B.
associatedWithNotableBearerNationality
Indicates that an entity is connected to the nationality of a notable bearer of a related name or title.
-
C.
associatedCountryViaNotableBearer
chosen
Indicates a relationship where an entity is linked to a country through a notable person who bears or represents that entity (such as a name, title, or work).
-
D.
typicalBearersNationality
Indicates the nationality that entities of a given type or class are most commonly associated with.
-
E.
notableBearerFullName
Indicates that a full personal name is that of a notable or well-known bearer associated with the referenced entity.
- F. None of above.
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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_6a036fb4650c81908df9b9ec8ed8594b |
completed | May 12, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a260c34ba7c81909d062839cbfd627f |
completed | June 8, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_6a036f64dc648190a31cf944d3ea0f7d |
completed | May 12, 2026, 6:20 p.m. |
Created at: April 28, 2026, 4:51 p.m.