Triple
T8509744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoar Frost, the Old Road to Ennery, Pontoise |
E201420
|
entity |
| Predicate | depictsLocation |
P1581
|
FINISHED |
| Object |
Ennery
Ennery is a commune in the Val-d'Oise department in northern France, situated near Pontoise in the Île-de-France region.
|
E738425
|
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: Ennery | Statement: [Hoar Frost, the Old Road to Ennery, Pontoise, depictsLocation, Ennery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ennery Context triple: [Hoar Frost, the Old Road to Ennery, Pontoise, depictsLocation, Ennery]
-
A.
Ennesi
Ennesi are the inhabitants or natives of the city of Enna in central Sicily, Italy.
-
B.
Enniger
Enniger is a village and district within the town of Ennigerloh in North Rhine-Westphalia, Germany.
-
C.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
D.
Eppegem
Eppegem is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Zemst.
-
E.
Erris
Erris is a remote barony on the northwest coast of County Mayo in Ireland, known for its rugged Atlantic landscapes, Gaeltacht (Irish-speaking) communities, and rich traditional culture.
- 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: Ennery Triple: [Hoar Frost, the Old Road to Ennery, Pontoise, depictsLocation, Ennery]
Generated description
Ennery is a commune in the Val-d'Oise department in northern France, situated near Pontoise in the Île-de-France region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ennery Target entity description: Ennery is a commune in the Val-d'Oise department in northern France, situated near Pontoise in the Île-de-France region.
-
A.
Ennesi
Ennesi are the inhabitants or natives of the city of Enna in central Sicily, Italy.
-
B.
Enniger
Enniger is a village and district within the town of Ennigerloh in North Rhine-Westphalia, Germany.
-
C.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
D.
Eppegem
Eppegem is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Zemst.
-
E.
Erris
Erris is a remote barony on the northwest coast of County Mayo in Ireland, known for its rugged Atlantic landscapes, Gaeltacht (Irish-speaking) communities, and rich traditional culture.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5e0cb1881909d1ff6ee9b3a65cc |
completed | March 31, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e3faa0c81908533e9097ed29b26 |
completed | April 2, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_69ce4ff9792c81908d76141904a170bc |
completed | April 2, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce50acae5881908f1d2c0e21dd7f1d |
completed | April 2, 2026, 11:19 a.m. |
Created at: March 30, 2026, 6:15 p.m.