Triple
T21793427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albanopolis of Armenia |
E538031
|
entity |
| Predicate | possibleCountry |
P145667
|
FINISHED |
| Object | modern-day Armenia |
—
|
LITERAL 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: modern-day Armenia | Statement: [Albanopolis of Armenia, possibleCountry, modern-day Armenia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleCountry Context triple: [Albanopolis of Armenia, possibleCountry, modern-day Armenia]
-
A.
possibleCountryOfCitizenship
Indicates that an entity could plausibly be a country in which the person or agent may hold, or be eligible to hold, citizenship.
-
B.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
C.
countryTried
Indicates that a country has conducted a judicial trial or legal proceedings against an entity.
-
D.
likelyCountryOfOrigin
Indicates that an entity is probably from, or most commonly associated with originating in, a particular country.
-
E.
countryFound
Indicates that a particular country is the location where an entity was discovered, established, or first identified.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f06221d1f4819089bb113d808d79c2 |
completed | April 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6c3a2898881909748935cf92f898c |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 6:52 p.m.