Triple
T25422959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanneella |
E637032
|
entity |
| Predicate | postalAuthorityRegion |
P16538
|
FINISHED |
| Object |
Victoria
Victoria is a southeastern Australian state known for its capital city Melbourne, diverse landscapes, and significant cultural and economic influence.
|
E20514
|
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: Victoria | Statement: [Nanneella, postalAuthorityRegion, Victoria]
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: Victoria Triple: [Nanneella, postalAuthorityRegion, Victoria]
Generated description
Victoria is a southeastern Australian state known for its capital city Melbourne, diverse landscapes, and significant cultural and economic influence.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postalAuthorityRegion Context triple: [Nanneella, postalAuthorityRegion, Victoria]
-
A.
postalRegionOf
Indicates that a given area or zone serves as the designated postal region for another location or address.
-
B.
hasPostalAddressRegion
chosen
Indicates the region component (such as state, province, or area) associated with an entity’s postal address.
-
C.
registrationRegion
Indicates the geographic or administrative region in which an entity is officially registered.
-
D.
longitudeRegion
Indicates that an entity is located within or associated with a specific longitudinal region on the Earth’s surface.
-
E.
postalAuthority
Indicates that an entity serves as the official postal or mail-regulating authority for another entity or jurisdiction.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6bd517c819086c0e8e9c2dce972 |
completed | May 2, 2026, 1:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10d9e88aa0819091c43e9979d15d4f |
completed | May 22, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_6a10db5f1f8c8190a2a6de0f0a03bddf |
completed | May 22, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10dc421ba4819091ac155dff903e9d |
completed | May 22, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:57 p.m.