Triple
T15071009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilda campus |
E379876
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object |
Wilda
Wilda is a district of the Polish city of Poznań, known for its mix of historic architecture, industrial heritage, and growing residential and cultural areas.
|
E1135647
|
NE FINISHED |
How this triple was built (4 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: Wilda | Statement: [Wilda campus, district, Wilda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilda Context triple: [Wilda campus, district, Wilda]
-
A.
Wilella
Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
-
B.
Wandella
Wandella is a rural locality within New South Wales, Australia, administered as part of the Carrathool Shire local government area.
-
C.
Ruviana
Ruviana is an alternative name for Roviana, an Oceanic language spoken in the Solomon Islands.
-
D.
Rineke
Rineke is a Dutch photographer renowned for her intimate, large-scale portraits that explore identity, vulnerability, and the passage of time.
-
E.
Jandaíra
Jandaíra is a municipality in the state of Bahia, Brazil, that forms part of the broader urban and economic area surrounding the city of Salvador.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Wilda Triple: [Wilda campus, district, Wilda]
Generated description
Wilda is a district of the Polish city of Poznań, known for its mix of historic architecture, industrial heritage, and growing residential and cultural areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilda Target entity description: Wilda is a district of the Polish city of Poznań, known for its mix of historic architecture, industrial heritage, and growing residential and cultural areas.
-
A.
Wilella
Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
-
B.
Wandella
Wandella is a rural locality within New South Wales, Australia, administered as part of the Carrathool Shire local government area.
-
C.
Ruviana
Ruviana is an alternative name for Roviana, an Oceanic language spoken in the Solomon Islands.
-
D.
Rineke
Rineke is a Dutch photographer renowned for her intimate, large-scale portraits that explore identity, vulnerability, and the passage of time.
-
E.
Jandaíra
Jandaíra is a municipality in the state of Bahia, Brazil, that forms part of the broader urban and economic area surrounding the city of Salvador.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7f86df48190b3a2cf441fefb477 |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5cd4b6c8190aa9ff73d5be31864 |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea8e838b4819091e0a3d099c49059 |
completed | May 9, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea986e0dc8190a56e71288c6a7ef4 |
completed | May 9, 2026, 3:27 a.m. |
Created at: April 10, 2026, 3:02 a.m.