Triple
T27093442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFR Cluj |
E686228
|
entity |
| Predicate | countryIn |
P191775
|
FINISHED |
| Object | Romania |
—
|
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: Romania | Statement: [CFR Cluj, countryIn, Romania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryIn Context triple: [CFR Cluj, countryIn, Romania]
-
A.
country1
Indicates that the subject entity is a country (or represents a country) in the given context.
-
B.
country2
Indicates a secondary or alternative country associated with an entity, such as a second nationality, location, or jurisdiction.
-
C.
countryDuring
Indicates that one entity exists, occurs, or is valid within the temporal span during which the other entity is recognized as a specific country.
-
D.
countryInWorld
Indicates that a country is located within and is a member of the world as a whole.
-
E.
countryFeatured
Indicates that a particular country is highlighted or given special prominence in a given context or presentation.
- 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
| PDg | Predicate description generation | batch_69fcec5e560481909cd710b88897e833 |
completed | May 7, 2026, 7:47 p.m. |
Created at: April 27, 2026, 8:42 a.m.