Triple
T29361351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethiopia and Eritrea |
E744598
|
entity |
| Predicate | capitalOfEritrea |
P158549
|
FINISHED |
| Object | Asmara |
—
|
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: Asmara | Statement: [Ethiopia and Eritrea, capitalOfEritrea, Asmara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalOfEritrea Context triple: [Ethiopia and Eritrea, capitalOfEritrea, Asmara]
-
A.
capitalOfEasternProvince
Indicates that one entity serves as the capital city or administrative center of a specified eastern province.
-
B.
regionalOrganizationCapital
Indicates that a city serves as the capital or administrative center of a specified regional organization.
-
C.
عاصمة
chosen
Indicates that one entity is the capital city of another entity, typically a country or region.
-
D.
timeInCapital
Indicates that a specified amount of time is spent or occurs within the capital city of a given political or administrative entity.
-
E.
capitalOfArmeniaUntil
Indicates that a given city served as the capital of Armenia up to (and possibly including) a specified point in 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 28, 2026, 2:18 p.m.