Triple
T14494027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fosse Dionne |
E359441
|
entity |
| Predicate | hasNameMeaning |
P1966
|
FINISHED |
| Object |
Dionne pit
Dionne pit is a historic karst spring and natural pool in Tonnerre, France, famed for its striking turquoise waters and mysterious, still-unexplained depth.
|
E1102137
|
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: Dionne pit | Statement: [Fosse Dionne, hasNameMeaning, Dionne pit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dionne pit Context triple: [Fosse Dionne, hasNameMeaning, Dionne pit]
-
A.
Ranquitte
Ranquitte is a small rural commune in northern Haiti known for its mountainous terrain and agricultural economy.
-
B.
Pitis
Pitis is a Madrid Metro station in the northern part of the city that serves as a key suburban access point and interchange with commuter rail services.
-
C.
Dolgan
Dolgan is a Turkic language spoken primarily by the Dolgan people in northern Siberia, especially in Russia’s Taymyr Peninsula.
-
D.
Pitane
Pitane was an ancient coastal city of Aeolis in western Asia Minor, known as a Greek settlement near the mouth of the Caicus River.
-
E.
De Benneville
De Benneville "Bert" Bell was a prominent American football executive best known as the NFL commissioner who helped modernize and popularize the league in the mid-20th century.
- 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: Dionne pit Triple: [Fosse Dionne, hasNameMeaning, Dionne pit]
Generated description
Dionne pit is a historic karst spring and natural pool in Tonnerre, France, famed for its striking turquoise waters and mysterious, still-unexplained depth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dionne pit Target entity description: Dionne pit is a historic karst spring and natural pool in Tonnerre, France, famed for its striking turquoise waters and mysterious, still-unexplained depth.
-
A.
Ranquitte
Ranquitte is a small rural commune in northern Haiti known for its mountainous terrain and agricultural economy.
-
B.
Pitis
Pitis is a Madrid Metro station in the northern part of the city that serves as a key suburban access point and interchange with commuter rail services.
-
C.
Dolgan
Dolgan is a Turkic language spoken primarily by the Dolgan people in northern Siberia, especially in Russia’s Taymyr Peninsula.
-
D.
Pitane
Pitane was an ancient coastal city of Aeolis in western Asia Minor, known as a Greek settlement near the mouth of the Caicus River.
-
E.
De Benneville
De Benneville "Bert" Bell was a prominent American football executive best known as the NFL commissioner who helped modernize and popularize the league in the mid-20th century.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930f34d08190b4b30e54e2f702ed |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9544cc81908105554f212a9b8c |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6e75155081908cec8cac1101c17e |
completed | May 8, 2026, 5:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6f38ea788190a957419ca1971b15 |
completed | May 8, 2026, 5:06 a.m. |
Created at: April 10, 2026, 1:21 a.m.