Triple
T14493612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thirlmere |
E359429
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Tahmoor
Tahmoor is a town in the Macarthur Region of New South Wales, Australia, known as a growing residential and commercial hub on the south-western fringe of Greater Sydney.
|
E1102129
|
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: Tahmoor | Statement: [Thirlmere, near, Tahmoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tahmoor Context triple: [Thirlmere, near, Tahmoor]
-
A.
Taghmon
Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
-
B.
Martaban
Martaban is a historic port city in southern Myanmar that once served as the capital of the Mon kingdom and a key hub in regional maritime trade.
-
C.
Gundrak
Gundrak is a troll-themed dungeon instance in World of Warcraft set in the Zul'Drak region of Northrend, featuring the Drakkari empire and their loa gods.
-
D.
McShera
McShera is the surname of English actress Sophie McShera, known for her roles in series such as "Downton Abbey" and "Waterloo Road."
-
E.
Bobbahn
Bobbahn is a bobsled-style roller coaster located at Heide Park in Germany, known for its winding track and terrain-hugging layout.
- 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: Tahmoor Triple: [Thirlmere, near, Tahmoor]
Generated description
Tahmoor is a town in the Macarthur Region of New South Wales, Australia, known as a growing residential and commercial hub on the south-western fringe of Greater Sydney.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tahmoor Target entity description: Tahmoor is a town in the Macarthur Region of New South Wales, Australia, known as a growing residential and commercial hub on the south-western fringe of Greater Sydney.
-
A.
Taghmon
Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
-
B.
Martaban
Martaban is a historic port city in southern Myanmar that once served as the capital of the Mon kingdom and a key hub in regional maritime trade.
-
C.
Gundrak
Gundrak is a troll-themed dungeon instance in World of Warcraft set in the Zul'Drak region of Northrend, featuring the Drakkari empire and their loa gods.
-
D.
McShera
McShera is the surname of English actress Sophie McShera, known for her roles in series such as "Downton Abbey" and "Waterloo Road."
-
E.
Bobbahn
Bobbahn is a bobsled-style roller coaster located at Heide Park in Germany, known for its winding track and terrain-hugging layout.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930f34d08190b4b30e54e2f702ed |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9544cc81908105554f212a9b8c |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6e75155081908cec8cac1101c17e |
completed | May 8, 2026, 5:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6f38ea788190a957419ca1971b15 |
completed | May 8, 2026, 5:06 a.m. |
Created at: April 10, 2026, 1:21 a.m.