Triple
T16213446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayange |
E393522
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Fensch
Fensch is a river in northeastern France that flows through the Moselle department and has historically supported the region’s industrial and urban development.
|
E1201120
|
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: Fensch | Statement: [Hayange, hasRiver, Fensch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fensch Context triple: [Hayange, hasRiver, Fensch]
-
A.
Fenn
Fenn is a surname most notably associated with John B. Fenn, the Nobel Prize–winning American chemist recognized for his work in mass spectrometry.
-
B.
Pfeffer
Pfeffer is a German-origin surname borne by various notable individuals across fields such as academia, politics, and the arts.
-
C.
Fünke
Fünke is the surname of several members of the eccentric, dysfunctional family featured in the television sitcom "Arrested Development."
-
D.
Pfäfers
Pfäfers is a Swiss municipality in the canton of St. Gallen, known for its historic Benedictine monastery and scenic location in the Tamina valley.
-
E.
Woodruff
Woodruff is a surname most prominently associated with Judy Woodruff, a longtime American broadcast journalist and former anchor of the PBS NewsHour.
- 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: Fensch Triple: [Hayange, hasRiver, Fensch]
Generated description
Fensch is a river in northeastern France that flows through the Moselle department and has historically supported the region’s industrial and urban development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fensch Target entity description: Fensch is a river in northeastern France that flows through the Moselle department and has historically supported the region’s industrial and urban development.
-
A.
Fenn
Fenn is a surname most notably associated with John B. Fenn, the Nobel Prize–winning American chemist recognized for his work in mass spectrometry.
-
B.
Pfeffer
Pfeffer is a German-origin surname borne by various notable individuals across fields such as academia, politics, and the arts.
-
C.
Fünke
Fünke is the surname of several members of the eccentric, dysfunctional family featured in the television sitcom "Arrested Development."
-
D.
Pfäfers
Pfäfers is a Swiss municipality in the canton of St. Gallen, known for its historic Benedictine monastery and scenic location in the Tamina valley.
-
E.
Woodruff
Woodruff is a surname most prominently associated with Judy Woodruff, a longtime American broadcast journalist and former anchor of the PBS NewsHour.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f2c1288190bfaed49c364bfa22 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007932f088190b6c20913cfb932f4 |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a0009d6e7288190907075f5ee72f3ad |
completed | May 10, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a000ad7a72481909a74643d8c0c9b5a |
completed | May 10, 2026, 4:34 a.m. |
Created at: April 10, 2026, 5:03 a.m.