Triple
T10331400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tavush Province |
E242881
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Paravaqar
Paravaqar is a small town located in Armenia's northeastern Tavush Province, known for its rural setting and proximity to forested, mountainous landscapes.
|
E857630
|
NE FINISHED |
How this triple was built (4 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: Paravaqar | Statement: [Tavush Province, hasTown, Paravaqar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paravaqar Context triple: [Tavush Province, hasTown, Paravaqar]
-
A.
Parakar
Parakar is a village in Armenia’s Armavir Province, situated near the capital Yerevan and known for its proximity to Zvartnots International Airport.
-
B.
Papariga
Papariga is a Greek surname most prominently associated with Aleka Papariga, a longtime leader of the Communist Party of Greece.
-
C.
Porul
Porul is the second section of the ancient Tamil classic Tirukkural, focusing on ethics, governance, politics, and social conduct.
-
D.
Pourkarim
Pourkarim is the surname of Swedish singer-songwriter and former child refugee Laleh, known for her eclectic pop music and introspective lyrics.
-
E.
Parva
Parva is a renowned Kannada novel by S. L. Bhyrappa that offers a modern, realistic retelling of the Indian epic Mahabharata.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Paravaqar Triple: [Tavush Province, hasTown, Paravaqar]
Generated description
Paravaqar is a small town located in Armenia's northeastern Tavush Province, known for its rural setting and proximity to forested, mountainous landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paravaqar Target entity description: Paravaqar is a small town located in Armenia's northeastern Tavush Province, known for its rural setting and proximity to forested, mountainous landscapes.
-
A.
Parakar
Parakar is a village in Armenia’s Armavir Province, situated near the capital Yerevan and known for its proximity to Zvartnots International Airport.
-
B.
Papariga
Papariga is a Greek surname most prominently associated with Aleka Papariga, a longtime leader of the Communist Party of Greece.
-
C.
Porul
Porul is the second section of the ancient Tamil classic Tirukkural, focusing on ethics, governance, politics, and social conduct.
-
D.
Pourkarim
Pourkarim is the surname of Swedish singer-songwriter and former child refugee Laleh, known for her eclectic pop music and introspective lyrics.
-
E.
Parva
Parva is a renowned Kannada novel by S. L. Bhyrappa that offers a modern, realistic retelling of the Indian epic Mahabharata.
- F. None of above. chosen
Provenance (5 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7fcaf4c8190bdcfcb953d88ea2f |
completed | April 7, 2026, 10:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7504d49e88190b2739522f3ead702 |
completed | April 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69d7618b0f2481908149596dc86d4593 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d77015ae688190870976309e2b912b |
completed | April 9, 2026, 9:23 a.m. |
Created at: April 6, 2026, 11:52 a.m.