Triple
T3454936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Sisters (rock formation) |
E72880
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Wimlah
Wimlah is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
|
E359432
|
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: Wimlah | Statement: [Three Sisters (rock formation), hasPart, Wimlah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wimlah Context triple: [Three Sisters (rock formation), hasPart, Wimlah]
-
A.
Achim
Achim is a small town in Lower Saxony, Germany, located near the city of Bremen.
-
B.
Kemsing
Kemsing is a village and civil parish in the Sevenoaks District of Kent, England, known for its rural character and location near the North Downs.
-
C.
Bassein
Bassein is a historic coastal town in western India, now known as Vasai, notable for its strategic port and colonial-era fortifications that played a key role in regional power struggles.
-
D.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
-
E.
Nahe
Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
- 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: Wimlah Triple: [Three Sisters (rock formation), hasPart, Wimlah]
Generated description
Wimlah is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wimlah Target entity description: Wimlah is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
-
A.
Achim
Achim is a small town in Lower Saxony, Germany, located near the city of Bremen.
-
B.
Kemsing
Kemsing is a village and civil parish in the Sevenoaks District of Kent, England, known for its rural character and location near the North Downs.
-
C.
Bassein
Bassein is a historic coastal town in western India, now known as Vasai, notable for its strategic port and colonial-era fortifications that played a key role in regional power struggles.
-
D.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
-
E.
Nahe
Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa5e2188190a8157cb8dcca8d30 |
completed | March 8, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360fc823c8190a0f1807b39706b3f |
completed | March 13, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b364be9d208190a13ed202ecd19262 |
completed | March 13, 2026, 1:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3655514f48190a47b2591a1e46ca2 |
completed | March 13, 2026, 1:16 a.m. |
Created at: March 8, 2026, 3:16 p.m.