Triple
T20168244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 6845 |
E491883
|
entity |
| Predicate | otherDesignation |
P48076
|
FINISHED |
| Object |
Klemola 30
Klemola 30 is an interacting group of galaxies in the constellation Telescopium, also cataloged as NGC 6845.
|
E1414378
|
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: Klemola 30 | Statement: [NGC 6845, otherDesignation, Klemola 30]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klemola 30 Context triple: [NGC 6845, otherDesignation, Klemola 30]
-
A.
Klem
Klem is the surname of William Joseph Klem, a pioneering and highly influential American Major League Baseball umpire often called the "father of baseball umpires."
-
B.
Kreli
Kreli was a Xhosa military leader who played a significant role in resisting British colonial forces during the Ninth Frontier War in South Africa.
-
C.
Klakah
Klakah is a town in East Java, Indonesia, situated close to Mount Lamongan and known for its surrounding volcanic lakes and agricultural landscape.
-
D.
Klecko
Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
-
E.
Klausi
Klausi is a German diminutive form of the male given name Klaus, often used as an affectionate nickname.
- 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: Klemola 30 Triple: [NGC 6845, otherDesignation, Klemola 30]
Generated description
Klemola 30 is an interacting group of galaxies in the constellation Telescopium, also cataloged as NGC 6845.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klemola 30 Target entity description: Klemola 30 is an interacting group of galaxies in the constellation Telescopium, also cataloged as NGC 6845.
-
A.
Klem
Klem is the surname of William Joseph Klem, a pioneering and highly influential American Major League Baseball umpire often called the "father of baseball umpires."
-
B.
Kreli
Kreli was a Xhosa military leader who played a significant role in resisting British colonial forces during the Ninth Frontier War in South Africa.
-
C.
Klakah
Klakah is a town in East Java, Indonesia, situated close to Mount Lamongan and known for its surrounding volcanic lakes and agricultural landscape.
-
D.
Klecko
Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
-
E.
Klausi
Klausi is a German diminutive form of the male given name Klaus, often used as an affectionate nickname.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66845cb588190820c50eea0c40d83 |
completed | April 20, 2026, 5:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083482950c8190aff6eb232ebbdd79 |
completed | May 16, 2026, 9:10 a.m. |
| NEDg | Description generation | batch_6a08354678488190a04794496edc4333 |
completed | May 16, 2026, 9:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08360def9c8190b8a2d48814ee13c8 |
completed | May 16, 2026, 9:17 a.m. |
Created at: April 11, 2026, 11:35 p.m.