Triple
T3108580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Isabel Island |
E64894
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object |
Bughotu
Bughotu is an Austronesian language spoken by communities on Santa Isabel Island in the Solomon Islands.
|
E327020
|
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: Bughotu | Statement: [Santa Isabel Island, languageSpoken, Bughotu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bughotu Context triple: [Santa Isabel Island, languageSpoken, Bughotu]
-
A.
Chholiya
Chholiya is a traditional folk dance of the Kumaon region of Uttarakhand, India, often performed at weddings and festivals and characterized by its sword-and-shield martial style.
-
B.
Hathi Pol
Hathi Pol is a historic gateway of the City Palace complex in Udaipur, Rajasthan, traditionally used as a main entrance for royal processions and visitors.
-
C.
Goopy Gyne Bagha Byne
Goopy Gyne Bagha Byne is a beloved 1969 Bengali fantasy-adventure film by Satyajit Ray, known for its music, satire, and enduring popularity in Indian cinema.
-
D.
Gaga Bhatt
Gaga Bhatt was a prominent 17th-century Hindu scholar and priest from Varanasi, best known for officiating the royal coronation of the Maratha ruler Shivaji.
-
E.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
- 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: Bughotu Triple: [Santa Isabel Island, languageSpoken, Bughotu]
Generated description
Bughotu is an Austronesian language spoken by communities on Santa Isabel Island in the Solomon Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bughotu Target entity description: Bughotu is an Austronesian language spoken by communities on Santa Isabel Island in the Solomon Islands.
-
A.
Chholiya
Chholiya is a traditional folk dance of the Kumaon region of Uttarakhand, India, often performed at weddings and festivals and characterized by its sword-and-shield martial style.
-
B.
Hathi Pol
Hathi Pol is a historic gateway of the City Palace complex in Udaipur, Rajasthan, traditionally used as a main entrance for royal processions and visitors.
-
C.
Goopy Gyne Bagha Byne
Goopy Gyne Bagha Byne is a beloved 1969 Bengali fantasy-adventure film by Satyajit Ray, known for its music, satire, and enduring popularity in Indian cinema.
-
D.
Gaga Bhatt
Gaga Bhatt was a prominent 17th-century Hindu scholar and priest from Varanasi, best known for officiating the royal coronation of the Maratha ruler Shivaji.
-
E.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29eacc88190a19c5ca8e53e3dca |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203902a6881909b20589fad629640 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b204b575c88190a5d3705c81f0dc6b |
completed | March 12, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b20574fab48190bf48d62d35dd4ed5 |
completed | March 12, 2026, 12:14 a.m. |
Created at: March 8, 2026, 3:04 p.m.