Triple
T2870801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Barthélemy |
E63554
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Gustavia
Gustavia is the main town and administrative center of the Caribbean island of Saint Barthélemy, known for its picturesque harbor, upscale boutiques, and French colonial charm.
|
E324844
|
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: Gustavia | Statement: [Saint Barthélemy, capital, Gustavia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gustavia Context triple: [Saint Barthélemy, capital, Gustavia]
-
A.
Dominica
Dominica is a small island nation in the Caribbean known for its lush rainforests, volcanic landscapes, and rich biodiversity.
-
B.
Saint Lucia
Saint Lucia is a small Caribbean island nation known for its dramatic Piton mountains, lush rainforests, and popular beach resorts.
-
C.
Martinique
Martinique is a Caribbean island and French overseas region known for its blend of French and Creole culture, volcanic landscapes, and beaches.
-
D.
Grenada
Grenada is a small Caribbean island nation known for its spice production, picturesque beaches, and lush mountainous interior.
-
E.
Saba
Saba is a consumer electronics brand known for products such as televisions and audio equipment, historically popular in Europe.
- 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: Gustavia Triple: [Saint Barthélemy, capital, Gustavia]
Generated description
Gustavia is the main town and administrative center of the Caribbean island of Saint Barthélemy, known for its picturesque harbor, upscale boutiques, and French colonial charm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gustavia Target entity description: Gustavia is the main town and administrative center of the Caribbean island of Saint Barthélemy, known for its picturesque harbor, upscale boutiques, and French colonial charm.
-
A.
Dominica
Dominica is a small island nation in the Caribbean known for its lush rainforests, volcanic landscapes, and rich biodiversity.
-
B.
Saint Lucia
Saint Lucia is a small Caribbean island nation known for its dramatic Piton mountains, lush rainforests, and popular beach resorts.
-
C.
Martinique
Martinique is a Caribbean island and French overseas region known for its blend of French and Creole culture, volcanic landscapes, and beaches.
-
D.
Grenada
Grenada is a small Caribbean island nation known for its spice production, picturesque beaches, and lush mountainous interior.
-
E.
Saba
Saba is a consumer electronics brand known for products such as televisions and audio equipment, historically popular in Europe.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfe2dcb48190a194253e733d14af |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f856ad508190a92d9e9decc68c58 |
completed | March 11, 2026, 11:18 p.m. |
| NEDg | Description generation | batch_69b1f92315948190aee670df21cc0e5e |
completed | March 11, 2026, 11:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f97563388190bd87d3ce9abe666e |
completed | March 11, 2026, 11:23 p.m. |
Created at: March 6, 2026, 10:02 p.m.