Triple
T12522172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laverton |
E299344
|
entity |
| Predicate | gazettedAsTownsite |
P3881
|
FINISHED |
| Object | 1900 |
—
|
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: 1900 | Statement: [Laverton, gazettedAsTownsite, 1900]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gazettedAsTownsite Context triple: [Laverton, gazettedAsTownsite, 1900]
-
A.
wasFoundedAsTown
Indicates that an entity came into existence specifically with the legal or formal status of a town.
-
B.
incorporatedAsTownIn
chosen
Indicates that an entity was officially established and given legal status as a town within a specified jurisdiction.
-
C.
hasMarketTownStatus
Indicates that a settlement holds the official legal or historical status of being recognized as a market town.
-
D.
incorporatedAsTownship
Indicates that an area or community has been formally established and recognized as a township through a legal or governmental incorporation process.
-
E.
hasTownStatus
Indicates that an entity possesses the legal or administrative status of being recognized as a town.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.