Triple
T16172858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement de Condom |
E392483
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Condom |
E85344
|
NE 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: Condom | Statement: [arrondissement de Condom, seat, Condom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Condom Context triple: [arrondissement de Condom, seat, Condom]
-
A.
Condom
chosen
Condom is a small historic town in southwestern France, known for its medieval architecture and location in the Armagnac-producing region.
-
B.
Durex
Durex is a globally recognized brand of condoms and sexual health products known for its focus on safety, reliability, and intimate wellbeing.
-
C.
Sheex
Sheex is a performance bedding company known for its athletic-inspired, moisture-wicking sheets and sleepwear.
-
D.
“Ode to the Condom”
“Ode to the Condom” is a humorous, satirical poem that playfully celebrates and reflects on the role of the condom in modern sexual life.
-
E.
Pille
Pille is the talking football character that served as the sidekick to Goleo VI, the official mascot of the 2006 FIFA World Cup in Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb88c948190a1d8b5518694ad53 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f83f6ac8190b9f18fe701a9b3ce |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:02 a.m.