Triple
T18370311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerringong |
E446164
|
entity |
| Predicate | distanceFromKiama |
P127152
|
FINISHED |
| Object | about 10 kilometres south |
—
|
LITERAL 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: about 10 kilometres south | Statement: [Gerringong, distanceFromKiama, about 10 kilometres south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromKiama Context triple: [Gerringong, distanceFromKiama, about 10 kilometres south]
-
A.
distanceToKiama
chosen
Indicates the spatial distance between a given entity and the location Kiama.
-
B.
distanceFromMurwillumbah
Indicates the spatial distance separating an entity from the location of Murwillumbah.
-
C.
distanceToForster_km
Indicates the physical distance, measured in kilometers, between an entity and a reference location named Forster.
-
D.
distanceFromGosford_km
Indicates the physical distance, measured in kilometers, between an entity’s location and Gosford.
-
E.
distanceFromGundagai
Indicates the spatial distance separating something from the location of Gundagai.
- F. None of above.
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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51751e4288190873bcc4dc140ac16 |
completed | April 19, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:44 a.m.