Triple
T15048432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bega Valley |
E379290
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Edrom
Edrom is a small coastal locality in New South Wales, Australia, known for its natural bushland, rugged shoreline, and proximity to national parks and marine reserves.
|
E1133656
|
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: Edrom | Statement: [Bega Valley, containsTown, Edrom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edrom Context triple: [Bega Valley, containsTown, Edrom]
-
A.
Kamorta
Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
-
B.
Eliada
Eliada is a lesser-known biblical figure mentioned in the Old Testament as one of King David’s sons.
-
C.
Alidoro
Alidoro is the wise philosopher and tutor to Prince Ramiro in Rossini’s opera "La Cenerentola," who secretly guides and protects Cinderella.
-
D.
Ermera
Ermera is a mountainous municipality in central Timor-Leste known for its coffee production and significant Mambae-speaking population.
-
E.
Dorla
Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
- 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: Edrom Triple: [Bega Valley, containsTown, Edrom]
Generated description
Edrom is a small coastal locality in New South Wales, Australia, known for its natural bushland, rugged shoreline, and proximity to national parks and marine reserves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edrom Target entity description: Edrom is a small coastal locality in New South Wales, Australia, known for its natural bushland, rugged shoreline, and proximity to national parks and marine reserves.
-
A.
Kamorta
Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
-
B.
Eliada
Eliada is a lesser-known biblical figure mentioned in the Old Testament as one of King David’s sons.
-
C.
Alidoro
Alidoro is the wise philosopher and tutor to Prince Ramiro in Rossini’s opera "La Cenerentola," who secretly guides and protects Cinderella.
-
D.
Ermera
Ermera is a mountainous municipality in central Timor-Leste known for its coffee production and significant Mambae-speaking population.
-
E.
Dorla
Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
- 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_69deda8e64e48190873104a02a676ff3 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de73614819098b7a88624407d0e |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9f49b1108190a453ef3805006e6c |
completed | May 9, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9fb79bd08190b22f92df751d0e58 |
completed | May 9, 2026, 2:45 a.m. |
Created at: April 10, 2026, 3 a.m.