Triple
T6673663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bargara |
E151795
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mon Repos |
E533717
|
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: Mon Repos | Statement: [Bargara, near, Mon Repos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mon Repos Context triple: [Bargara, near, Mon Repos]
-
A.
Mon Repos
chosen
Mon Repos is a coastal area in Queensland, Australia, best known for its important marine turtle rookery and conservation park.
-
B.
Pico de Príncipe
Pico de Príncipe is the highest peak on the island of Príncipe in São Tomé and Príncipe, known for its steep, forested slopes and striking volcanic origin.
-
C.
Grand Dru
Grand Dru is the higher and more prominent of the twin granite peaks of the Aiguille du Dru in the Mont Blanc massif of the French Alps, renowned among alpinists for its steep faces and challenging climbs.
-
D.
Mount Leuser
Mount Leuser is a prominent mountain in northern Sumatra, Indonesia, forming part of the biodiverse Leuser Ecosystem and lending its name to the surrounding national park.
-
E.
Sangotedo
Sangotedo is a rapidly developing suburban area in the Lekki–Epe corridor of Lagos, Nigeria, known for its growing residential estates and shopping centers.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0f1d9d081909670f5c0b7389c0d |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7a10ec08190983a66b874a1d541 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:03 p.m.