Triple
T2211594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atauro |
E50928
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Biqueli
Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
|
E245312
|
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: Biqueli | Statement: [Atauro, hasSettlement, Biqueli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biqueli Context triple: [Atauro, hasSettlement, Biqueli]
-
A.
Abarth
Abarth is an Italian performance car and racing brand known for tuning and producing sporty versions of Fiat and other compact vehicles.
-
B.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
-
C.
Spragga Benz
Spragga Benz is a prominent Jamaican dancehall deejay known for his influential 1990s hits and collaborations across reggae, hip hop, and international pop music.
-
D.
Alfa Pendular
Alfa Pendular is Portugal’s high-speed tilting train service operated by Comboios de Portugal, connecting major cities such as Lisbon, Porto, and Faro with faster, more comfortable rail travel.
-
E.
Dallara
Dallara is an Italian race car manufacturer renowned for designing and building chassis for top-level motorsport series worldwide, including IndyCar.
- 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: Biqueli Triple: [Atauro, hasSettlement, Biqueli]
Generated description
Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biqueli Target entity description: Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
-
A.
Abarth
Abarth is an Italian performance car and racing brand known for tuning and producing sporty versions of Fiat and other compact vehicles.
-
B.
Suter
Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
-
C.
Spragga Benz
Spragga Benz is a prominent Jamaican dancehall deejay known for his influential 1990s hits and collaborations across reggae, hip hop, and international pop music.
-
D.
Alfa Pendular
Alfa Pendular is Portugal’s high-speed tilting train service operated by Comboios de Portugal, connecting major cities such as Lisbon, Porto, and Faro with faster, more comfortable rail travel.
-
E.
Dallara
Dallara is an Italian race car manufacturer renowned for designing and building chassis for top-level motorsport series worldwide, including IndyCar.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfecea6c8190b762bbfda8490e31 |
completed | March 7, 2026, 6:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae655245c48190a37f4b6344a9a3dc |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae6656f7788190818179d923b11bba |
completed | March 9, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66cc3ac0819096e3f246b10e7761 |
completed | March 9, 2026, 6:21 a.m. |
Created at: March 4, 2026, 7:46 p.m.