Triple
T16632874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syunik Province |
E404118
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Kajaran
Kajaran is a small industrial town in southern Armenia known for its significant copper-molybdenum mining operations.
|
E1224898
|
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: Kajaran | Statement: [Syunik Province, containsTown, Kajaran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kajaran Context triple: [Syunik Province, containsTown, Kajaran]
-
A.
Kertajati
Kertajati is a district in Majalengka Regency, West Java, Indonesia, known for hosting the major regional Kertajati International Airport.
-
B.
Kaskelen
Kaskelen is a town in southeastern Kazakhstan that serves as a local center within the Almaty Region, situated near the city of Almaty.
-
C.
Koidula
Koidula is a railway junction and border station in southeastern Estonia that serves as a key transit point near the Russian and Latvian borders.
-
D.
Karesi
Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
-
E.
Karjat
Karjat is a town in Maharashtra, India, known as a scenic weekend getaway and trekking hub in the Western Ghats, popular for its waterfalls, forts, and proximity to Mumbai and Pune.
- 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: Kajaran Triple: [Syunik Province, containsTown, Kajaran]
Generated description
Kajaran is a small industrial town in southern Armenia known for its significant copper-molybdenum mining operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kajaran Target entity description: Kajaran is a small industrial town in southern Armenia known for its significant copper-molybdenum mining operations.
-
A.
Kertajati
Kertajati is a district in Majalengka Regency, West Java, Indonesia, known for hosting the major regional Kertajati International Airport.
-
B.
Kaskelen
Kaskelen is a town in southeastern Kazakhstan that serves as a local center within the Almaty Region, situated near the city of Almaty.
-
C.
Koidula
Koidula is a railway junction and border station in southeastern Estonia that serves as a key transit point near the Russian and Latvian borders.
-
D.
Karesi
Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
-
E.
Karjat
Karjat is a town in Maharashtra, India, known as a scenic weekend getaway and trekking hub in the Western Ghats, popular for its waterfalls, forts, and proximity to Mumbai and Pune.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e7d4a48190a9b4a14ecbb2a14b |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dbe82b4819093b954567790bef7 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e747eac81908b0b5a2072a177dd |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f75e7e48190ac5cf912cca60d9c |
completed | May 10, 2026, 12:52 p.m. |
Created at: April 10, 2026, 5:17 a.m.