Triple
T17407355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enz in Pforzheim |
E423251
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Enz (German)
Enz (German) is the German name for the Enz River, a tributary of the Neckar flowing through the city of Pforzheim in southwestern Germany.
|
E1267303
|
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: Enz (German) | Statement: [Enz in Pforzheim, hasNameInLanguage, Enz (German)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enz (German) Context triple: [Enz in Pforzheim, hasNameInLanguage, Enz (German)]
-
A.
Sinn (German)
Sinn (German) is the term used by philosopher Gottlob Frege to denote the "sense" or mode of presentation of a linguistic expression, distinguishing it from its reference (Bedeutung).
-
B.
Iller (German)
Iller (German) is the German name for the Iller River, a tributary of the Danube in southern Germany.
-
C.
Schier (German)
Schier is the German name for the Chiers, a river in Western Europe that flows through Belgium, Luxembourg, and France.
-
D.
Deutch
Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
-
E.
Germann
Germann is a surname most notably associated with American actor Greg Germann, known for his roles in television and film.
- 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: Enz (German) Triple: [Enz in Pforzheim, hasNameInLanguage, Enz (German)]
Generated description
Enz (German) is the German name for the Enz River, a tributary of the Neckar flowing through the city of Pforzheim in southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Enz (German) Target entity description: Enz (German) is the German name for the Enz River, a tributary of the Neckar flowing through the city of Pforzheim in southwestern Germany.
-
A.
Sinn (German)
Sinn (German) is the term used by philosopher Gottlob Frege to denote the "sense" or mode of presentation of a linguistic expression, distinguishing it from its reference (Bedeutung).
-
B.
Iller (German)
Iller (German) is the German name for the Iller River, a tributary of the Danube in southern Germany.
-
C.
Schier (German)
Schier is the German name for the Chiers, a river in Western Europe that flows through Belgium, Luxembourg, and France.
-
D.
Deutch
Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
-
E.
Germann
Germann is a surname most notably associated with American actor Greg Germann, known for his roles in television and film.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b081ae08190b144e333a3a74b02 |
completed | April 19, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a7f9bc508190aeae98b45c002d75 |
completed | May 11, 2026, 9:57 a.m. |
| NEDg | Description generation | batch_6a01a898ceb48190ba3d40c898b17158 |
completed | May 11, 2026, 9:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a9183410819083c8239e3ce38ea2 |
completed | May 11, 2026, 10:02 a.m. |
Created at: April 10, 2026, 5:45 a.m.