Triple
T8365962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gegham Mountains |
E197125
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Spitakasar
Spitakasar is a notable mountain peak in Armenia, forming part of the volcanic Gegham mountain range.
|
E728068
|
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: Spitakasar | Statement: [Gegham Mountains, hasPeak, Spitakasar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spitakasar Context triple: [Gegham Mountains, hasPeak, Spitakasar]
-
A.
Spitak
Spitak is a town in northern Armenia known for being heavily affected by the 1988 Armenian earthquake and later rebuilt with international assistance.
-
B.
Lapseki
Lapseki is a town and district in Çanakkale Province in northwestern Turkey, situated on the Asian shore of the Dardanelles Strait.
-
C.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
D.
Halga
Halga is a legendary Danish prince from the Old English epic Beowulf, known as one of the Scylding royal brothers.
-
E.
Bara
Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
- 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: Spitakasar Triple: [Gegham Mountains, hasPeak, Spitakasar]
Generated description
Spitakasar is a notable mountain peak in Armenia, forming part of the volcanic Gegham mountain range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spitakasar Target entity description: Spitakasar is a notable mountain peak in Armenia, forming part of the volcanic Gegham mountain range.
-
A.
Spitak
Spitak is a town in northern Armenia known for being heavily affected by the 1988 Armenian earthquake and later rebuilt with international assistance.
-
B.
Lapseki
Lapseki is a town and district in Çanakkale Province in northwestern Turkey, situated on the Asian shore of the Dardanelles Strait.
-
C.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
D.
Halga
Halga is a legendary Danish prince from the Old English epic Beowulf, known as one of the Scylding royal brothers.
-
E.
Bara
Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808bc22481909ce2f8b48cc95806 |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc78c0c208190ba590c74512a4043 |
completed | April 2, 2026, 1:34 a.m. |
| NEDg | Description generation | batch_69cdcc88456c8190ba8613b4cbf40fbb |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcd75714881908f0b069a94ee334f |
completed | April 2, 2026, 1:59 a.m. |
Created at: March 30, 2026, 6 p.m.