Triple
T13493895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kandyan aristocracy |
E320708
|
entity |
| Predicate | heldTitle |
P8
|
FINISHED |
| Object |
Adigar
Adigar was a high-ranking ministerial and administrative title in the Kingdom of Kandy, held by members of the Kandyan aristocracy who served as chief advisors and officials to the monarch.
|
E1043280
|
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: Adigar | Statement: [Kandyan aristocracy, heldTitle, Adigar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adigar Context triple: [Kandyan aristocracy, heldTitle, Adigar]
-
A.
Kadiria
Kadiria is a town and commune located within Bouira Province in northern Algeria.
-
B.
Arrifes
Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
-
C.
Hizma
Hizma is a Palestinian village located northeast of Jerusalem in the central West Bank.
-
D.
Kadir
Kadir is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
-
E.
Ḍogrī
Ḍogrī is the native name of the Dogri language, an Indo-Aryan language spoken primarily in the Jammu region of India.
- 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: Adigar Triple: [Kandyan aristocracy, heldTitle, Adigar]
Generated description
Adigar was a high-ranking ministerial and administrative title in the Kingdom of Kandy, held by members of the Kandyan aristocracy who served as chief advisors and officials to the monarch.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adigar Target entity description: Adigar was a high-ranking ministerial and administrative title in the Kingdom of Kandy, held by members of the Kandyan aristocracy who served as chief advisors and officials to the monarch.
-
A.
Kadiria
Kadiria is a town and commune located within Bouira Province in northern Algeria.
-
B.
Arrifes
Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
-
C.
Hizma
Hizma is a Palestinian village located northeast of Jerusalem in the central West Bank.
-
D.
Kadir
Kadir is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
-
E.
Ḍogrī
Ḍogrī is the native name of the Dogri language, an Indo-Aryan language spoken primarily in the Jammu region of India.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4da2c88190a867b53529d39545 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463d3a948190aab07a25fd903d4e |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f7496187988190b42e51f192cd4a80 |
completed | May 3, 2026, 1:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74a0420908190b2b4988cc4d4a20a |
completed | May 3, 2026, 1:13 p.m. |
Created at: April 9, 2026, 9:43 p.m.