Triple
T7440257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savaiʻi |
E171731
|
entity |
| Predicate | capitalVillage |
P12906
|
FINISHED |
| Object |
Salelologa
Salelologa is the main township and commercial hub on the Samoan island of Savaiʻi, serving as its administrative and transport center.
|
E664846
|
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: Salelologa | Statement: [Savaiʻi, capitalVillage, Salelologa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salelologa Context triple: [Savaiʻi, capitalVillage, Salelologa]
-
A.
Selebobo
Selebobo is a Nigerian singer, songwriter, and record producer known for his work in contemporary Afropop and collaborations with prominent African artists.
-
B.
Songololo
Songololo is a town in the western Democratic Republic of the Congo, situated near the border with Angola and known as a local transport and trade hub.
-
C.
Nabaloi
Nabaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in the Benguet region of Luzon.
-
D.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
E.
Nakasaleka
Nakasaleka is a coastal village on Kadavu Island in Fiji, known for its traditional Fijian lifestyle and close-knit community.
- 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: Salelologa Triple: [Savaiʻi, capitalVillage, Salelologa]
Generated description
Salelologa is the main township and commercial hub on the Samoan island of Savaiʻi, serving as its administrative and transport center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salelologa Target entity description: Salelologa is the main township and commercial hub on the Samoan island of Savaiʻi, serving as its administrative and transport center.
-
A.
Selebobo
Selebobo is a Nigerian singer, songwriter, and record producer known for his work in contemporary Afropop and collaborations with prominent African artists.
-
B.
Songololo
Songololo is a town in the western Democratic Republic of the Congo, situated near the border with Angola and known as a local transport and trade hub.
-
C.
Nabaloi
Nabaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in the Benguet region of Luzon.
-
D.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
E.
Nakasaleka
Nakasaleka is a coastal village on Kadavu Island in Fiji, known for its traditional Fijian lifestyle and close-knit community.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f34d84008190936af2b3670ef210 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c82791ff2c81909967f145d24ff036 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c828420ebc8190bd124a53de185032 |
completed | March 28, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c828a5c2f88190aedd55d40520c672 |
completed | March 28, 2026, 7:14 p.m. |
Created at: March 27, 2026, 3:13 p.m.