Triple
T1815654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etchmiadzin Cathedral |
E40429
|
entity |
| Predicate | oneOfTheOldest |
P18087
|
FINISHED |
| Object | cathedrals in the world |
—
|
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: cathedrals in the world | Statement: [Etchmiadzin Cathedral, oneOfTheOldest, cathedrals in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfTheOldest Context triple: [Etchmiadzin Cathedral, oneOfTheOldest, cathedrals in the world]
-
A.
oneOfOldestTemplesIn
Indicates that a temple is among the oldest temples located within a specified place or region.
-
B.
oldestKnownFeature
Indicates that the related feature is the earliest or most ancient one known within a given context or set.
-
C.
oldestStandingStructureIn
chosen
Indicates that one entity is the oldest still-existing structure located within the specified place or region.
-
D.
isOldestCityIn
Indicates that one city holds the distinction of being the most ancient or earliest established within a specified region, country, or group of cities.
-
E.
isOneOfOldestFranchisesIn
Indicates that an entity is among the earliest-established or longest-running franchises within a specified group, category, or region.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d884548190a19cf3a6b5ae9d48 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.