Triple
T8978042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fréjus |
E214446
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Porte d’Orée
Porte d’Orée is a historic Roman-era gate in Fréjus, France, notable as a remnant of the ancient city’s fortifications.
|
E769788
|
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: Porte d’Orée | Statement: [Fréjus, hasLandmark, Porte d’Orée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porte d’Orée Context triple: [Fréjus, hasLandmark, Porte d’Orée]
-
A.
Porte du Thérond
Porte du Thérond is a historic fortified city gate in the medieval town of Marvejols in southern France.
-
B.
Lalumière
Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
-
C.
La Garde-Freinet
La Garde-Freinet is a picturesque Provençal village in southeastern France, known for its historic hilltop setting, chestnut forests, and views over the Gulf of Saint-Tropez.
-
D.
La Neuve-Lyre
La Neuve-Lyre is a small commune in northern France, located in the Eure department of the Normandy region.
-
E.
La Passe
La Passe is the principal village and harbor area on La Digue Island in the Seychelles, serving as its main hub for transport, tourism, and local commerce.
- 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: Porte d’Orée Triple: [Fréjus, hasLandmark, Porte d’Orée]
Generated description
Porte d’Orée is a historic Roman-era gate in Fréjus, France, notable as a remnant of the ancient city’s fortifications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Porte d’Orée Target entity description: Porte d’Orée is a historic Roman-era gate in Fréjus, France, notable as a remnant of the ancient city’s fortifications.
-
A.
Porte du Thérond
Porte du Thérond is a historic fortified city gate in the medieval town of Marvejols in southern France.
-
B.
Lalumière
Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
-
C.
La Garde-Freinet
La Garde-Freinet is a picturesque Provençal village in southeastern France, known for its historic hilltop setting, chestnut forests, and views over the Gulf of Saint-Tropez.
-
D.
La Neuve-Lyre
La Neuve-Lyre is a small commune in northern France, located in the Eure department of the Normandy region.
-
E.
La Passe
La Passe is the principal village and harbor area on La Digue Island in the Seychelles, serving as its main hub for transport, tourism, and local commerce.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a33c8481909125acf4b7f0a919 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc96e7eb48190a3df410b1544b997 |
completed | April 3, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69cfca6202a4819090404b7893a31ba7 |
completed | April 3, 2026, 2:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfcaeaf24c81908daadfe954413778 |
completed | April 3, 2026, 2:12 p.m. |
Created at: March 30, 2026, 7:02 p.m.