Triple
T15061761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Patrick Parish |
E379644
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Tete Morne
Tete Morne is a small settlement located within Saint Patrick Parish on the Caribbean island nation of Dominica.
|
E1135731
|
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: Tete Morne | Statement: [Saint Patrick Parish, hasSettlement, Tete Morne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tete Morne Context triple: [Saint Patrick Parish, hasSettlement, Tete Morne]
-
A.
Morne de la Grande Montagne
Morne de la Grande Montagne is the highest peak on the French archipelago of Saint Pierre and Miquelon in the North Atlantic.
-
B.
Dam Mountain
Dam Mountain is a popular hiking peak in the North Shore Mountains of British Columbia, known for its accessible trails and scenic views near Vancouver.
-
C.
Morne la Selle
Morne la Selle is the highest mountain in Haiti, located in the southern part of the country.
-
D.
Mount Beacon
Mount Beacon is a prominent peak in New York’s Hudson Highlands, known for its hiking trails, scenic views of the Hudson River Valley, and historic inclined railway.
-
E.
Morne Watt
Morne Watt is a stratovolcano in Dominica known for its geothermal activity and proximity to the famous Boiling Lake.
- 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: Tete Morne Triple: [Saint Patrick Parish, hasSettlement, Tete Morne]
Generated description
Tete Morne is a small settlement located within Saint Patrick Parish on the Caribbean island nation of Dominica.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tete Morne Target entity description: Tete Morne is a small settlement located within Saint Patrick Parish on the Caribbean island nation of Dominica.
-
A.
Morne de la Grande Montagne
Morne de la Grande Montagne is the highest peak on the French archipelago of Saint Pierre and Miquelon in the North Atlantic.
-
B.
Dam Mountain
Dam Mountain is a popular hiking peak in the North Shore Mountains of British Columbia, known for its accessible trails and scenic views near Vancouver.
-
C.
Morne la Selle
Morne la Selle is the highest mountain in Haiti, located in the southern part of the country.
-
D.
Mount Beacon
Mount Beacon is a prominent peak in New York’s Hudson Highlands, known for its hiking trails, scenic views of the Hudson River Valley, and historic inclined railway.
-
E.
Morne Watt
Morne Watt is a stratovolcano in Dominica known for its geothermal activity and proximity to the famous Boiling Lake.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee6a55c8190b40c4672fb46b79b |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c612d481909575b76f7aa96c50 |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea88329708190bd943e69c209458e |
completed | May 9, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea91cd358819092f4e2b9392039f8 |
completed | May 9, 2026, 3:25 a.m. |
Created at: April 10, 2026, 3:01 a.m.