Triple
T3173442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro Line 6 |
E66406
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Picpus
Picpus is a station on the Paris Métro located in the 12th arrondissement, serving the surrounding Picpus neighborhood.
|
E333070
|
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: Picpus | Statement: [Paris Métro Line 6, servesStation, Picpus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Picpus Context triple: [Paris Métro Line 6, servesStation, Picpus]
-
A.
Piipaash
Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
-
B.
Pyr
Pyr is a science fiction and fantasy publishing imprint known for releasing speculative fiction titles under the Prometheus Books umbrella.
-
C.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
-
D.
Pericos
Pericos is the popular nickname for Spanish football club RCD Espanyol and its supporters.
-
E.
Ponent
Ponent is the western region of Catalonia, Spain, centered around the city of Lleida and known for its agricultural landscapes and inland Mediterranean climate.
- 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: Picpus Triple: [Paris Métro Line 6, servesStation, Picpus]
Generated description
Picpus is a station on the Paris Métro located in the 12th arrondissement, serving the surrounding Picpus neighborhood.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Picpus Target entity description: Picpus is a station on the Paris Métro located in the 12th arrondissement, serving the surrounding Picpus neighborhood.
-
A.
Piipaash
Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
-
B.
Pyr
Pyr is a science fiction and fantasy publishing imprint known for releasing speculative fiction titles under the Prometheus Books umbrella.
-
C.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
-
D.
Pericos
Pericos is the popular nickname for Spanish football club RCD Espanyol and its supporters.
-
E.
Ponent
Ponent is the western region of Catalonia, Spain, centered around the city of Lleida and known for its agricultural landscapes and inland Mediterranean climate.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada66facf881908b9ec687d68ce91b |
completed | March 8, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235edf7708190b79605a05baf1711 |
completed | March 12, 2026, 3:41 a.m. |
| NEDg | Description generation | batch_69b236e61ae88190a76b942c6cddff41 |
completed | March 12, 2026, 3:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b23770ed4c8190b5d929cc95a286a0 |
completed | March 12, 2026, 3:48 a.m. |
Created at: March 8, 2026, 3:06 p.m.