Triple
T791647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maitland, New South Wales |
E16926
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Telarah
Telarah is a residential suburb in the City of Maitland in the Hunter Region of New South Wales, Australia.
|
E94055
|
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: Telarah | Statement: [Maitland, New South Wales, hasSuburb, Telarah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telarah Context triple: [Maitland, New South Wales, hasSuburb, Telarah]
-
A.
Ta-Mehu
Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
-
B.
Tvishi
Tvishi is a semi-sweet white Georgian wine, typically made from Tsolikouri grapes and renowned for its delicate fruitiness and balanced acidity.
-
C.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
-
D.
Taltal
Taltal is a coastal city in northern Chile known for its historic mining activity and proximity to the Atacama Desert.
-
E.
Tsageri
Tsageri is a small town in western Georgia that serves as an administrative and cultural center of the mountainous Racha-Lechkhumi region.
- 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: Telarah Triple: [Maitland, New South Wales, hasSuburb, Telarah]
Generated description
Telarah is a residential suburb in the City of Maitland in the Hunter Region of New South Wales, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Telarah Target entity description: Telarah is a residential suburb in the City of Maitland in the Hunter Region of New South Wales, Australia.
-
A.
Ta-Mehu
Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
-
B.
Tvishi
Tvishi is a semi-sweet white Georgian wine, typically made from Tsolikouri grapes and renowned for its delicate fruitiness and balanced acidity.
-
C.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
-
D.
Taltal
Taltal is a coastal city in northern Chile known for its historic mining activity and proximity to the Atacama Desert.
-
E.
Tsageri
Tsageri is a small town in western Georgia that serves as an administrative and cultural center of the mountainous Racha-Lechkhumi region.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a798c7608190b9c79c52a1fe0859 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a67880f9608190b0676eb47ea99ca1 |
completed | March 3, 2026, 5:58 a.m. |
| NEDg | Description generation | batch_69a678f962c881909884c2af15f41d65 |
completed | March 3, 2026, 6 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a67953f2bc8190bbbf8d4ae9c2c3bc |
completed | March 3, 2026, 6:01 a.m. |
Created at: March 1, 2026, 7:38 p.m.