Triple
T14905846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Brak River |
E360126
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object |
Glentana
Glentana is a small coastal village in South Africa’s Western Cape, known for its quiet beaches and seaside holiday homes along the Garden Route.
|
E1127590
|
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: Glentana | Statement: [Great Brak River, hasNearbyTown, Glentana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glentana Context triple: [Great Brak River, hasNearbyTown, Glentana]
-
A.
Glenaan
Glenaan is one of the scenic Glens of Antrim in County Antrim, Northern Ireland, known for its rural landscapes and traditional Irish countryside character.
-
B.
Tinonee
Tinonee is a small rural village in New South Wales, Australia, known for its historic charm and riverside setting near Taree.
-
C.
Gleniti
Gleniti is a residential suburb of Timaru in the South Canterbury region of New Zealand.
-
D.
Claghorn
Claghorn is a fictional, blustery Southern senator character best known from the 1940s radio show "The Fred Allen Show," which later inspired the cartoon character Foghorn Leghorn.
-
E.
Kilgetty
Kilgetty is a small village in Pembrokeshire, Wales, known as a local residential and service hub near the coastal resort of Saundersfoot.
- 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: Glentana Triple: [Great Brak River, hasNearbyTown, Glentana]
Generated description
Glentana is a small coastal village in South Africa’s Western Cape, known for its quiet beaches and seaside holiday homes along the Garden Route.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glentana Target entity description: Glentana is a small coastal village in South Africa’s Western Cape, known for its quiet beaches and seaside holiday homes along the Garden Route.
-
A.
Glenaan
Glenaan is one of the scenic Glens of Antrim in County Antrim, Northern Ireland, known for its rural landscapes and traditional Irish countryside character.
-
B.
Tinonee
Tinonee is a small rural village in New South Wales, Australia, known for its historic charm and riverside setting near Taree.
-
C.
Gleniti
Gleniti is a residential suburb of Timaru in the South Canterbury region of New Zealand.
-
D.
Claghorn
Claghorn is a fictional, blustery Southern senator character best known from the 1940s radio show "The Fred Allen Show," which later inspired the cartoon character Foghorn Leghorn.
-
E.
Kilgetty
Kilgetty is a small village in Pembrokeshire, Wales, known as a local residential and service hub near the coastal resort of Saundersfoot.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60cd5588190b1efecc2b220da69 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b7640c8190b463f69fb67fd30a |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe771e361481908b58eb38f804f650 |
completed | May 8, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe77fef3d88190afbd7839c4625226 |
completed | May 8, 2026, 11:55 p.m. |
Created at: April 10, 2026, 2:12 a.m.