Triple
T12765571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aqueduct Saint-Clément |
E305113
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object |
Saint-Clément spring
Saint-Clément spring is a natural water source in southern France that historically supplied the Aqueduct Saint-Clément and the city of Montpellier.
|
E1001895
|
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: Saint-Clément spring | Statement: [Aqueduct Saint-Clément, connectsWith, Saint-Clément spring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Clément spring Context triple: [Aqueduct Saint-Clément, connectsWith, Saint-Clément spring]
-
A.
Tournelle
Tournelle refers to the historical riverside district and former tower area in Paris that gave its name to the Pont de la Tournelle.
-
B.
Rethondes
Rethondes is a commune in northern France best known as the site where the World War I armistice was signed in 1918.
-
C.
Aigues-Mortais
Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
-
D.
Fasquelle
Fasquelle is a French publishing house known for issuing notable literary and scholarly works.
-
E.
Arugot Spring
Arugot Spring is a popular desert oasis and hiking destination in the Ein Gedi Nature Reserve near the Dead Sea in Israel, known for its waterfalls, pools, and lush vegetation.
- 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: Saint-Clément spring Triple: [Aqueduct Saint-Clément, connectsWith, Saint-Clément spring]
Generated description
Saint-Clément spring is a natural water source in southern France that historically supplied the Aqueduct Saint-Clément and the city of Montpellier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saint-Clément spring Target entity description: Saint-Clément spring is a natural water source in southern France that historically supplied the Aqueduct Saint-Clément and the city of Montpellier.
-
A.
Tournelle
Tournelle refers to the historical riverside district and former tower area in Paris that gave its name to the Pont de la Tournelle.
-
B.
Rethondes
Rethondes is a commune in northern France best known as the site where the World War I armistice was signed in 1918.
-
C.
Aigues-Mortais
Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
-
D.
Fasquelle
Fasquelle is a French publishing house known for issuing notable literary and scholarly works.
-
E.
Arugot Spring
Arugot Spring is a popular desert oasis and hiking destination in the Ein Gedi Nature Reserve near the Dead Sea in Israel, known for its waterfalls, pools, and lush vegetation.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df1ef148190af525532fcb0933b |
completed | April 10, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f4e1508190a6f023f1d1dc192e |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f6863fada48190afe2ff7896a60094 |
completed | May 2, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f686bcac94819088782273effbb06a |
completed | May 2, 2026, 11:20 p.m. |
Created at: April 9, 2026, 5:28 p.m.