Triple
T18240956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Kreuznach |
E436807
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Planig
Planig is a district of the German town Bad Kreuznach, known for its residential character within the Rhineland-Palatinate region.
|
E1313599
|
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: Planig | Statement: [Bad Kreuznach, hasPart, Planig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Planig Context triple: [Bad Kreuznach, hasPart, Planig]
-
A.
Planera
Planera is a small genus of deciduous trees in the elm family, best known for the species Planera aquatica, commonly called the water elm.
-
B.
PLAN
PLAN (People's Liberation Army of Namibia) was the armed wing of the South West Africa People's Organization (SWAPO) that fought against South African rule during Namibia's struggle for independence.
-
C.
Planer
Planer is a German surname borne by various notable individuals, including figures in the arts and sciences.
-
D.
Making Plans
"Making Plans" is a bluegrass song by The Osborne Brothers that showcases their signature close harmonies and traditional country sound.
-
E.
Planernaya
Planernaya is a Moscow Metro station that serves as the northwestern terminus of the Tagansko–Krasnopresnenskaya Line.
- 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: Planig Triple: [Bad Kreuznach, hasPart, Planig]
Generated description
Planig is a district of the German town Bad Kreuznach, known for its residential character within the Rhineland-Palatinate region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Planig Target entity description: Planig is a district of the German town Bad Kreuznach, known for its residential character within the Rhineland-Palatinate region.
-
A.
Planera
Planera is a small genus of deciduous trees in the elm family, best known for the species Planera aquatica, commonly called the water elm.
-
B.
PLAN
PLAN (People's Liberation Army of Namibia) was the armed wing of the South West Africa People's Organization (SWAPO) that fought against South African rule during Namibia's struggle for independence.
-
C.
Planer
Planer is a German surname borne by various notable individuals, including figures in the arts and sciences.
-
D.
Making Plans
"Making Plans" is a bluegrass song by The Osborne Brothers that showcases their signature close harmonies and traditional country sound.
-
E.
Planernaya
Planernaya is a Moscow Metro station that serves as the northwestern terminus of the Tagansko–Krasnopresnenskaya Line.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e287548190b666a990e5b168b0 |
completed | April 19, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03ac6f730481908dc152cb5a61fbd2 |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03ace9a6d48190ac0504903e08ba8b |
completed | May 12, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03ad7bd4708190904a316f87b80664 |
completed | May 12, 2026, 10:45 p.m. |
Created at: April 10, 2026, 10:33 a.m.