Triple
T2964158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amorgos |
E80120
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Arkesini
Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
|
E314636
|
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: Arkesini | Statement: [Amorgos, hasSettlement, Arkesini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arkesini Context triple: [Amorgos, hasSettlement, Arkesini]
-
A.
Arki
Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
-
B.
Arakhin
Arakhin is a tractate of the Mishnah and Talmud that deals primarily with the laws of vows of valuation and consecration to the Temple.
-
C.
Akrosh
Akrosh is an Indian film best known as a hard-hitting social drama written by acclaimed playwright and screenwriter Vijay Tendulkar.
-
D.
Iolkos
Iolkos was an ancient city in Thessaly, Greece, traditionally known as the homeland of Jason and the starting point of the Argonauts’ voyage in Greek mythology.
-
E.
Ashkun
Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
- 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: Arkesini Triple: [Amorgos, hasSettlement, Arkesini]
Generated description
Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arkesini Target entity description: Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
-
A.
Arki
Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
-
B.
Arakhin
Arakhin is a tractate of the Mishnah and Talmud that deals primarily with the laws of vows of valuation and consecration to the Temple.
-
C.
Akrosh
Akrosh is an Indian film best known as a hard-hitting social drama written by acclaimed playwright and screenwriter Vijay Tendulkar.
-
D.
Iolkos
Iolkos was an ancient city in Thessaly, Greece, traditionally known as the homeland of Jason and the starting point of the Argonauts’ voyage in Greek mythology.
-
E.
Ashkun
Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9958b1e48190a77f37bf63333c5b |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc98d94481908282d21394dc24a7 |
completed | March 11, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69b0fd07b82881908d52ab2db2f2e54c |
completed | March 11, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0fdba0fd88190a2e760f1770e846c |
completed | March 11, 2026, 5:29 a.m. |
Created at: March 8, 2026, 2:58 p.m.