Triple
T35635689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian National Memorial tower |
E1029713
|
entity |
| Predicate | hasCountryHonoured |
P207075
|
FINISHED |
| Object | Australia |
E876
|
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: Australia | Statement: [Australian National Memorial tower, hasCountryHonoured, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryHonoured Context triple: [Australian National Memorial tower, hasCountryHonoured, Australia]
-
A.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
B.
countryHonoring
Indicates a relationship where one country formally recognizes, celebrates, or pays tribute to another country, its people, or its symbols.
-
C.
hasFlagCountry
Indicates that a country is the one whose national flag is associated with or used by a given entity.
-
D.
hasCountryElement
Indicates that something includes, contains, or is composed of one or more country-related components or parts.
-
E.
hasOfficialRecognition
Indicates that an entity has been formally acknowledged or approved by an authorized body or institution.
- F. None of above. chosen
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_69f76e087bdc8190a4794bf9c0bd7634 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38684ad5a081909b5550c809297a1a |
completed | June 21, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:05 p.m.