Triple
T13856739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tigery |
E333084
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Lieusaint
Lieusaint is a commune in the Île-de-France region of north-central France, known for its residential areas and proximity to major commercial and business zones such as Carré Sénart.
|
E1072652
|
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: Lieusaint | Statement: [Tigery, locatedNear, Lieusaint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lieusaint Context triple: [Tigery, locatedNear, Lieusaint]
-
A.
Pontavenais
Pontavenais is the French demonym for inhabitants of the town of Pont-Aven in Brittany.
-
B.
Sainteny
Sainteny is a small commune in the Manche department of northwestern France, situated within the Normandy region.
-
C.
Tatihou
Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
-
D.
Marloie
Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
-
E.
Lezayre
Lezayre is a rural parish on the Isle of Man known for its countryside landscapes and proximity to the town of Ramsey.
- 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: Lieusaint Triple: [Tigery, locatedNear, Lieusaint]
Generated description
Lieusaint is a commune in the Île-de-France region of north-central France, known for its residential areas and proximity to major commercial and business zones such as Carré Sénart.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lieusaint Target entity description: Lieusaint is a commune in the Île-de-France region of north-central France, known for its residential areas and proximity to major commercial and business zones such as Carré Sénart.
-
A.
Pontavenais
Pontavenais is the French demonym for inhabitants of the town of Pont-Aven in Brittany.
-
B.
Sainteny
Sainteny is a small commune in the Manche department of northwestern France, situated within the Normandy region.
-
C.
Tatihou
Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
-
D.
Marloie
Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
-
E.
Lezayre
Lezayre is a rural parish on the Isle of Man known for its countryside landscapes and proximity to the town of Ramsey.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1bbee14819082e1a381a5950e07 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba5bff3b88190b5fcf3834e419b72 |
completed | May 6, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba9af1e0c81908d4013410e76535a |
completed | May 6, 2026, 8:50 p.m. |
Created at: April 9, 2026, 10:14 p.m.