Triple
T10072555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pagasetic Gulf |
E213664
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Alatas
Alatas is a small Greek island located in the Pagasetic Gulf, known for its tranquil natural setting and proximity to the Pelion peninsula.
|
E839684
|
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: Alatas | Statement: [Pagasetic Gulf, hasIsland, Alatas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alatas Context triple: [Pagasetic Gulf, hasIsland, Alatas]
-
A.
Umrangso
Umrangso is an industrial and commercial town in Assam, India, known for its cement factories and hydroelectric power projects.
-
B.
Ngaju
Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
-
C.
Tatitlek
Tatitlek is a small Alaska Native village in south-central Alaska, traditionally inhabited by the Alutiiq people and known for its subsistence lifestyle and coastal setting.
-
D.
Tagbanwa
Tagbanwa is an indigenous Philippine script historically used by the Tagbanwa people of Palawan for writing their Austronesian language.
-
E.
Maufra
Maufra is a French surname most notably associated with the landscape painter and printmaker Maxime Maufra, linked to the Impressionist and Pont-Aven movements.
- 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: Alatas Triple: [Pagasetic Gulf, hasIsland, Alatas]
Generated description
Alatas is a small Greek island located in the Pagasetic Gulf, known for its tranquil natural setting and proximity to the Pelion peninsula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alatas Target entity description: Alatas is a small Greek island located in the Pagasetic Gulf, known for its tranquil natural setting and proximity to the Pelion peninsula.
-
A.
Umrangso
Umrangso is an industrial and commercial town in Assam, India, known for its cement factories and hydroelectric power projects.
-
B.
Ngaju
Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
-
C.
Tatitlek
Tatitlek is a small Alaska Native village in south-central Alaska, traditionally inhabited by the Alutiiq people and known for its subsistence lifestyle and coastal setting.
-
D.
Tagbanwa
Tagbanwa is an indigenous Philippine script historically used by the Tagbanwa people of Palawan for writing their Austronesian language.
-
E.
Maufra
Maufra is a French surname most notably associated with the landscape painter and printmaker Maxime Maufra, linked to the Impressionist and Pont-Aven movements.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd013c9d0819091ebe6fc399832de |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29ab376488190bfb3efdb3f240cca |
completed | April 5, 2026, 5:24 p.m. |
| NEDg | Description generation | batch_69d29d670ce881909e9881235790d9ff |
completed | April 5, 2026, 5:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29e0779608190828c81cc8868bae2 |
completed | April 5, 2026, 5:38 p.m. |
Created at: March 30, 2026, 8:59 p.m.