Triple
T27052434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barham |
E684808
|
entity |
| Predicate | locatedOppositeTown |
P192729
|
FINISHED |
| Object |
Koondrook
Koondrook is a small rural town on the Murray River in northern Victoria, Australia, known for its historic river port heritage and timber industry.
|
E1759039
|
NE FINISHED |
How this triple was built (3 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: Koondrook | Statement: [Barham, locatedOppositeTown, Koondrook]
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: Koondrook Triple: [Barham, locatedOppositeTown, Koondrook]
Generated description
Koondrook is a small rural town on the Murray River in northern Victoria, Australia, known for its historic river port heritage and timber industry.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOppositeTown Context triple: [Barham, locatedOppositeTown, Koondrook]
-
A.
oppositeTownCountry
Indicates that two locations are situated in opposing or contrasting town and country settings, such that one is urban while the other is rural.
-
B.
oppositeTownAcrossBorder
Indicates that one town is located directly across a border from another town, positioned as its opposite counterpart.
-
C.
oppositeMunicipality
chosen
Indicates that two municipalities are located opposite each other, typically across a boundary such as a river, bay, or other separating feature.
-
D.
oppositeCityCountry
Indicates that a city and a country are located on opposite sides of the world or in geographically opposing regions relative to each other.
-
E.
hasNearbyTown
Indicates that one location has a town situated close to it in geographic proximity.
- F. None of above.
Provenance (6 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_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fe78e545888190a239af1a84280fa0 |
completed | May 8, 2026, 11:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12536bd72881908980aa4c1c60d589 |
completed | May 24, 2026, 1:25 a.m. |
| NEDg | Description generation | batch_6a1253ea3fdc8190a7aa04fd8e904209 |
completed | May 24, 2026, 1:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1254cce7dc8190aaf86de7f09fba53 |
completed | May 24, 2026, 1:30 a.m. |
| PD | Predicate disambiguation | batch_69fe7842742081908043eb950ed69f92 |
completed | May 8, 2026, 11:56 p.m. |
Created at: April 27, 2026, 8:15 a.m.