Triple
T36620533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fertit |
E904023
|
entity |
| Predicate | countryFormer |
P1892
|
FINISHED |
| Object | Sudan |
E14363
|
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: Sudan | Statement: [Fertit, countryFormer, Sudan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryFormer Context triple: [Fertit, countryFormer, Sudan]
-
A.
formerlyCountry
Indicates that an entity was previously recognized as a country but no longer holds that status.
-
B.
formerCountry
chosen
Indicates that an entity was previously recognized as a country but no longer holds that status.
-
C.
country rock
Indicates a relationship where a rock or geological unit is the native or surrounding rock in which another rock body, structure, or mineral deposit is embedded or formed.
-
D.
countryMusicClassic
Indicates that something is recognized as a classic work or exemplar within the genre of country music.
-
E.
countryCore
Indicates that one entity is the primary or central country associated with another entity, such as its main location, jurisdiction, or national affiliation.
- 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a031b40c6d0819096f4b9787a1f09d1 |
completed | May 12, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a20b31b3081908d9e34ad87727732 |
completed | June 23, 2026, 5:59 a.m. |
| PD | Predicate disambiguation | batch_6a03191f8ee08190b3416b044869ddfd |
completed | May 12, 2026, 12:12 p.m. |
Created at: May 3, 2026, 4:11 p.m.