Triple
T3173602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Palaiseau |
E66409
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lisses
Lisses is a commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
|
E333086
|
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: Lisses | Statement: [arrondissement of Palaiseau, contains, Lisses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisses Context triple: [arrondissement of Palaiseau, contains, Lisses]
-
A.
Lisse
Lisse is a town in the western Netherlands renowned for its flower bulb fields and the famous Keukenhof gardens.
-
B.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
-
C.
Lys
The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
-
D.
Lunice
Lunice is a Canadian electronic music producer and DJ known for his innovative trap-influenced beats and as one half of the duo TNGHT.
-
E.
The Esses
The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
- 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: Lisses Triple: [arrondissement of Palaiseau, contains, Lisses]
Generated description
Lisses is a commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisses Target entity description: Lisses is a commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
-
A.
Lisse
Lisse is a town in the western Netherlands renowned for its flower bulb fields and the famous Keukenhof gardens.
-
B.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
-
C.
Lys
The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
-
D.
Lunice
Lunice is a Canadian electronic music producer and DJ known for his innovative trap-influenced beats and as one half of the duo TNGHT.
-
E.
The Esses
The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
- 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.