Triple
T3277083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Conquête de Plassans |
E68782
|
entity |
| Predicate | settingLocation |
P40
|
FINISHED |
| Object |
Plassans
Plassans is a fictional provincial town in southern France created by Émile Zola as a central setting in several of his Rougon-Macquart novels.
|
E345390
|
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: Plassans | Statement: [La Conquête de Plassans, settingLocation, Plassans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plassans Context triple: [La Conquête de Plassans, settingLocation, Plassans]
-
A.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
B.
Prangins
Prangins is a municipality in the canton of Vaud in western Switzerland, known for its historic village and the Château de Prangins, which houses part of the Swiss National Museum.
-
C.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
D.
Reynst
Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
-
E.
Seskarö
Seskarö is a Swedish island in the northern Baltic Sea known for its forests, beaches, and traditional fishing and forestry communities.
- 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: Plassans Triple: [La Conquête de Plassans, settingLocation, Plassans]
Generated description
Plassans is a fictional provincial town in southern France created by Émile Zola as a central setting in several of his Rougon-Macquart novels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plassans Target entity description: Plassans is a fictional provincial town in southern France created by Émile Zola as a central setting in several of his Rougon-Macquart novels.
-
A.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
B.
Prangins
Prangins is a municipality in the canton of Vaud in western Switzerland, known for its historic village and the Château de Prangins, which houses part of the Swiss National Museum.
-
C.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
D.
Reynst
Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
-
E.
Seskarö
Seskarö is a Swedish island in the northern Baltic Sea known for its forests, beaches, and traditional fishing and forestry communities.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0128f08819084644f3c8fda2596 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e84a3c2c8190908152fc042fcad1 |
completed | March 12, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69b2e939460481909743b49e274b693e |
completed | March 12, 2026, 4:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2ecfd3c20819089bc0b2141aee8eb |
completed | March 12, 2026, 4:42 p.m. |
Created at: March 8, 2026, 3:10 p.m.