Triple
T13036087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 42 (school) |
E326563
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object | 42 Yerevan |
E106494
|
NE 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: 42 Yerevan | Statement: [42 (school), hasCampus, 42 Yerevan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 42 Yerevan Context triple: [42 (school), hasCampus, 42 Yerevan]
-
A.
Yerevan, Armenia
chosen
Yerevan, Armenia is the capital and largest city of Armenia, known for its ancient history, distinctive pink tuff stone architecture, and location in the Ararat Valley near Mount Ararat.
-
B.
Gyumri
Gyumri is Armenia’s second-largest city, known for its rich cultural heritage, historic architecture, and resilience following the 1988 Spitak earthquake.
-
C.
Armavir, Armenia
Armavir, Armenia is a city in western Armenia that serves as the capital of Armavir Province and lies in a historically significant region near ancient Urartian and Armenian settlements.
-
D.
Dilijan
Dilijan is a picturesque spa town in Armenia’s Tavush Province, known for its forested landscapes, traditional architecture, and proximity to Dilijan National Park.
-
E.
Yerevan railway station
Yerevan railway station is the main railway terminal in Armenia’s capital, serving as a key hub for domestic and international train services, including routes to neighboring Georgia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbcf11f88190ab1746f973132af1 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:55 p.m.