Triple
T3569751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canberra Airport |
E75538
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Pialligo
Pialligo is a suburb of Canberra in the Australian Capital Territory, known for its rural character, nurseries, and proximity to Canberra Airport.
|
E369963
|
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: Pialligo | Statement: [Canberra Airport, near, Pialligo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pialligo Context triple: [Canberra Airport, near, Pialligo]
-
A.
Palaonda
Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
-
B.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
C.
Pileni
Pileni is a small Polynesian outlier island community in the Solomon Islands, known for its Polynesian culture and language despite being located within Melanesia.
-
D.
Kivili
Kivili is a regional dialect of the Kikongo language spoken by communities in parts of Central Africa.
-
E.
Napareuli
Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
- 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: Pialligo Triple: [Canberra Airport, near, Pialligo]
Generated description
Pialligo is a suburb of Canberra in the Australian Capital Territory, known for its rural character, nurseries, and proximity to Canberra Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pialligo Target entity description: Pialligo is a suburb of Canberra in the Australian Capital Territory, known for its rural character, nurseries, and proximity to Canberra Airport.
-
A.
Palaonda
Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
-
B.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
C.
Pileni
Pileni is a small Polynesian outlier island community in the Solomon Islands, known for its Polynesian culture and language despite being located within Melanesia.
-
D.
Kivili
Kivili is a regional dialect of the Kikongo language spoken by communities in parts of Central Africa.
-
E.
Napareuli
Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c1ecb081909051bcc1f38eea31 |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbb3383c8190b14845a7de162502 |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bc62e1b481908310d7af56fb4889 |
completed | March 13, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f5b2fdcc8190842d2d7bd09c65c4 |
completed | March 13, 2026, 11:32 a.m. |
Created at: March 8, 2026, 3:21 p.m.