Triple
T16736133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hadrut |
E406722
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Stepanakert |
E205071
|
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: Stepanakert | Statement: [Hadrut, nearbyCity, Stepanakert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stepanakert Context triple: [Hadrut, nearbyCity, Stepanakert]
-
A.
Stepanakert
chosen
Stepanakert is the largest city and administrative center of the disputed Nagorno-Karabakh region in the South Caucasus.
-
B.
Akçaabat
Akçaabat is a coastal town and district in Turkey’s Trabzon Province on the Black Sea, known for its historic architecture and distinctive local cuisine.
-
C.
Qubadli town
Qubadli town is a settlement in southwestern Azerbaijan that serves as the main urban center of the surrounding Qubadli District.
-
D.
Ijevan
Ijevan is a town in northeastern Armenia known as the administrative center of the Tavush Province and noted for its surrounding forests, wine production, and historical sites.
-
E.
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.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c3a86848190a03f243dd1bdb899 |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a51c5c388190a88f8bd67dbac82e |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:20 a.m.