Triple
T28180998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catholicos of the Great House of Cilicia |
E716024
|
entity |
| Predicate | currentCountryOfSee |
P17888
|
FINISHED |
| Object | Lebanon |
—
|
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: Lebanon | Statement: [Catholicos of the Great House of Cilicia, currentCountryOfSee, Lebanon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentCountryOfSee Context triple: [Catholicos of the Great House of Cilicia, currentCountryOfSee, Lebanon]
-
A.
seeCountry
Indicates that one entity observes, visits, or becomes aware of a particular country.
-
B.
currentLocationCountry
chosen
Indicates that one entity is the country in which another entity is currently located.
-
C.
currentCountrySince
Indicates the date or point in time since which an entity has been in its current country (such as residence, operation, or affiliation).
-
D.
countryCurrently
Indicates that an entity is presently located in or associated with a specific country.
-
E.
currentHolderCountry
Indicates the country that currently possesses, controls, or holds the referenced entity.
- 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_69efd6b4fc5c81909dd88f01a8c2b35d |
completed | April 27, 2026, 9:35 p.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. |
Created at: April 27, 2026, 10:19 p.m.