Triple
T16014743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indooroopilly |
E388435
|
entity |
| Predicate | adjacentSuburb |
P37779
|
FINISHED |
| Object | Taringa |
E1122632
|
NE FINISHED |
How this triple was built (2 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: Taringa | Statement: [Indooroopilly, adjacentSuburb, Taringa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taringa Context triple: [Indooroopilly, adjacentSuburb, Taringa]
-
A.
Taringa
chosen
Taringa is a residential suburb in Brisbane, Queensland, known for its proximity to the city, strong public transport links, and a mix of students and professionals.
-
B.
Tago
Tago is a coastal municipality in the province of Surigao del Sur in the Philippines, known for its agricultural lands and riverine landscapes.
-
C.
Tianguá
Tianguá is a municipality in northeastern Brazil known for its location in the highlands of the state of Ceará and its role as a regional commercial and agricultural center.
-
D.
Tatengue
Tatengue is the popular nickname of Club Atlético Unión, a traditional football club from Santa Fe, Argentina.
-
E.
Cantagalo
Cantagalo is a municipality in the mountainous interior of Rio de Janeiro state in southeastern Brazil, known for its rural character and historical coffee production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18293ec1081909248e366967850c0 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf284fa481909b571d1bf107fca4 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.