Triple
T3318559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armenian alphabet |
E69737
|
entity |
| Predicate | ISO15924Code |
P208
|
FINISHED |
| Object |
Armn
Armn is the ISO 15924 four-letter code that designates the Armenian script used for writing the Armenian language.
|
E346764
|
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: Armn | Statement: [Armenian alphabet, ISO15924Code, Armn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armn Context triple: [Armenian alphabet, ISO15924Code, Armn]
-
A.
Armen
Armen is a masculine given name of Armenian origin, commonly used in Armenia and among the Armenian diaspora.
-
B.
Martunashen
Martunashen is a village in the disputed Nagorno-Karabakh region, known for being one of the sites affected by the Soviet Azerbaijani security forces’ Operation Ring in 1991.
-
C.
Ara
Ara is a historic city in the Indian state of Bihar, known for its role in the Indian independence movement and as the center of Bhojpur district.
-
D.
Armandus
Armandus is a masculine given name, a Latinized variant of Armand, historically associated with European, particularly French and Dutch, usage.
-
E.
Rouben
Rouben is a masculine given name most notably borne by Armenian-American film and theatre director Rouben Mamoulian.
- 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: Armn Triple: [Armenian alphabet, ISO15924Code, Armn]
Generated description
Armn is the ISO 15924 four-letter code that designates the Armenian script used for writing the Armenian language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Armn Target entity description: Armn is the ISO 15924 four-letter code that designates the Armenian script used for writing the Armenian language.
-
A.
Armen
Armen is a masculine given name of Armenian origin, commonly used in Armenia and among the Armenian diaspora.
-
B.
Martunashen
Martunashen is a village in the disputed Nagorno-Karabakh region, known for being one of the sites affected by the Soviet Azerbaijani security forces’ Operation Ring in 1991.
-
C.
Ara
Ara is a historic city in the Indian state of Bihar, known for its role in the Indian independence movement and as the center of Bhojpur district.
-
D.
Armandus
Armandus is a masculine given name, a Latinized variant of Armand, historically associated with European, particularly French and Dutch, usage.
-
E.
Rouben
Rouben is a masculine given name most notably borne by Armenian-American film and theatre director Rouben Mamoulian.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1151f3c8190911af4edac701116 |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3fd5440819092f6847e56c05ff8 |
completed | March 12, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_69b300abcbf88190bf05da60d8fb430b |
completed | March 12, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3132087888190af901e2551ef777c |
completed | March 12, 2026, 7:25 p.m. |
Created at: March 8, 2026, 3:11 p.m.