Triple
T31440600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Chauvel |
E802054
|
entity |
| Predicate | commemoratedBy |
P500
|
FINISHED |
| Object |
Chauvel House at the Royal Military College, Duntroon
Chauvel House at the Royal Military College, Duntroon is a building named in honour of Australian World War I cavalry commander General Sir Harry Chauvel, reflecting his significant contribution to the nation’s military history.
|
E1963060
|
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: Chauvel House at the Royal Military College, Duntroon | Statement: [Harry Chauvel, commemoratedBy, Chauvel House at the Royal Military College, Duntroon]
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: Chauvel House at the Royal Military College, Duntroon Triple: [Harry Chauvel, commemoratedBy, Chauvel House at the Royal Military College, Duntroon]
Generated description
Chauvel House at the Royal Military College, Duntroon is a building named in honour of Australian World War I cavalry commander General Sir Harry Chauvel, reflecting his significant contribution to the nation’s military history.
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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a0f253fc81909dcc8dae703e097c |
completed | May 3, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b077efc708190aa419c6094f4a99a |
completed | June 11, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_6a2b0846c0c88190b7c1b6a06e958fa3 |
completed | June 11, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b09b430388190832809716830d009 |
completed | June 11, 2026, 7:17 p.m. |
Created at: April 30, 2026, 9:05 p.m.