Triple
T3623083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikaria |
E76772
|
entity |
| Predicate | hasMajorSettlement |
P316
|
FINISHED |
| Object |
Armenistis
Armenistis is a coastal village and popular tourist resort on the Greek island of Ikaria, known for its beaches, tavernas, and relaxed atmosphere.
|
E373749
|
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: Armenistis | Statement: [Ikaria, hasMajorSettlement, Armenistis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armenistis Context triple: [Ikaria, hasMajorSettlement, Armenistis]
-
A.
Armen
Armen is a masculine given name of Armenian origin, commonly used in Armenia and among the Armenian diaspora.
-
B.
Armenians
Armenians are an Indo-European ethnic group native to the Armenian Highlands, known for their ancient Christian heritage, distinct language and alphabet, and a global diaspora shaped in part by the Armenian Genocide.
-
C.
Armn
Armn is the ISO 15924 four-letter code that designates the Armenian script used for writing the Armenian language.
-
D.
Armeno-Tat
Armeno-Tat is a dialect of the Tat language historically spoken by Armenian communities in the South Caucasus region.
-
E.
Turoyo
Turoyo is a modern Neo-Aramaic language traditionally spoken by Syriac Orthodox Christian communities from the Tur Abdin region of southeastern Turkey and neighboring areas.
- 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: Armenistis Triple: [Ikaria, hasMajorSettlement, Armenistis]
Generated description
Armenistis is a coastal village and popular tourist resort on the Greek island of Ikaria, known for its beaches, tavernas, and relaxed atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Armenistis Target entity description: Armenistis is a coastal village and popular tourist resort on the Greek island of Ikaria, known for its beaches, tavernas, and relaxed atmosphere.
-
A.
Armen
Armen is a masculine given name of Armenian origin, commonly used in Armenia and among the Armenian diaspora.
-
B.
Armenians
Armenians are an Indo-European ethnic group native to the Armenian Highlands, known for their ancient Christian heritage, distinct language and alphabet, and a global diaspora shaped in part by the Armenian Genocide.
-
C.
Armn
Armn is the ISO 15924 four-letter code that designates the Armenian script used for writing the Armenian language.
-
D.
Armeno-Tat
Armeno-Tat is a dialect of the Tat language historically spoken by Armenian communities in the South Caucasus region.
-
E.
Turoyo
Turoyo is a modern Neo-Aramaic language traditionally spoken by Syriac Orthodox Christian communities from the Tur Abdin region of southeastern Turkey and neighboring areas.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bc79008190abe6900adcbda8de |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b43320955c8190910c0f15c80f41f4 |
completed | March 13, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69b43705642881909c62b7363a4f3a12 |
completed | March 13, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4379cd04c81909246747bcc357261 |
completed | March 13, 2026, 4:13 p.m. |
Created at: March 8, 2026, 3:23 p.m.