Triple
T9881539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Island Governor |
E180818
|
entity |
| Predicate | hasSeat |
P3522
|
FINISHED |
| Object |
The Bottom, Saba
The Bottom is the capital and largest town of the Caribbean island of Saba, serving as its administrative and cultural center.
|
E828127
|
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: The Bottom, Saba | Statement: [Island Governor, hasSeat, The Bottom, Saba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Bottom, Saba Context triple: [Island Governor, hasSeat, The Bottom, Saba]
-
A.
Spice Alley
Spice Alley is a themed dining and shopping area within Shanghai Disney Resort’s Disneytown, offering an immersive atmosphere inspired by Asian street markets.
-
B.
Teetop
Teetop is a settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
C.
Chicken Island
Chicken Island is a small, scenic Thai island near Ao Nang known for its distinctive chicken-shaped rock formation and popular snorkeling spots.
-
D.
Smugglers Cove
Smugglers Cove is a famous secluded beach on the Greek island of Zakynthos, renowned for its dramatic cliffs, turquoise waters, and iconic shipwreck.
-
E.
Dock House
Dock House is a building within the BBC’s MediaCityUK complex in Salford, used for broadcasting and production operations.
- 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: The Bottom, Saba Triple: [Island Governor, hasSeat, The Bottom, Saba]
Generated description
The Bottom is the capital and largest town of the Caribbean island of Saba, serving as its administrative and cultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Bottom, Saba Target entity description: The Bottom is the capital and largest town of the Caribbean island of Saba, serving as its administrative and cultural center.
-
A.
Spice Alley
Spice Alley is a themed dining and shopping area within Shanghai Disney Resort’s Disneytown, offering an immersive atmosphere inspired by Asian street markets.
-
B.
Teetop
Teetop is a settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
C.
Chicken Island
Chicken Island is a small, scenic Thai island near Ao Nang known for its distinctive chicken-shaped rock formation and popular snorkeling spots.
-
D.
Smugglers Cove
Smugglers Cove is a famous secluded beach on the Greek island of Zakynthos, renowned for its dramatic cliffs, turquoise waters, and iconic shipwreck.
-
E.
Dock House
Dock House is a building within the BBC’s MediaCityUK complex in Salford, used for broadcasting and production operations.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb41639c88190a9ef3d950485e3ab |
completed | April 2, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eaea3d788190b3020c07c2739495 |
completed | April 5, 2026, 4:54 a.m. |
| NEDg | Description generation | batch_69d1ebd71ec081909e344aef39e40494 |
completed | April 5, 2026, 4:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ecc129ec81909bcd05421486c5ed |
completed | April 5, 2026, 5:01 a.m. |
Created at: March 30, 2026, 8:38 p.m.