Triple
T6329343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Griffith |
E141938
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Tharbogang
Tharbogang is a rural locality within the City of Griffith in New South Wales, Australia, known for its agricultural production.
|
E586730
|
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: Tharbogang | Statement: [City of Griffith, hasLocality, Tharbogang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tharbogang Context triple: [City of Griffith, hasLocality, Tharbogang]
-
A.
Bartangi
Bartangi is a lesser-known Eastern Iranian language spoken in the Bartang Valley region of Tajikistan.
-
B.
Brattahlid
Brattahlid was the main Norse settlement and estate of Erik the Red in southern Greenland, serving as a central hub of the medieval Greenlandic Norse colony.
-
C.
Bergshamra
Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
-
D.
Byllynge
Byllynge is an English surname most notably associated with Edward Byllynge, a 17th-century colonial proprietor involved in the early governance of New Jersey.
-
E.
Dælenenga
Dælenenga is an area in Oslo, Norway, known for its sports facilities and urban character within the inner-city district.
- 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: Tharbogang Triple: [City of Griffith, hasLocality, Tharbogang]
Generated description
Tharbogang is a rural locality within the City of Griffith in New South Wales, Australia, known for its agricultural production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tharbogang Target entity description: Tharbogang is a rural locality within the City of Griffith in New South Wales, Australia, known for its agricultural production.
-
A.
Bartangi
Bartangi is a lesser-known Eastern Iranian language spoken in the Bartang Valley region of Tajikistan.
-
B.
Brattahlid
Brattahlid was the main Norse settlement and estate of Erik the Red in southern Greenland, serving as a central hub of the medieval Greenlandic Norse colony.
-
C.
Bergshamra
Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
-
D.
Byllynge
Byllynge is an English surname most notably associated with Edward Byllynge, a 17th-century colonial proprietor involved in the early governance of New Jersey.
-
E.
Dælenenga
Dælenenga is an area in Oslo, Norway, known for its sports facilities and urban character within the inner-city district.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651197908190a30e504e2442d40f |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c604154a1c8190b09e74cea2a18624 |
completed | March 27, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69c605be33b081908a88b14ffc9b7e45 |
completed | March 27, 2026, 4:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6063391c08190be94743c4c326805 |
completed | March 27, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4:30 p.m.