Triple
T12118020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kispoko |
E288615
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Kispogoi
Kispogoi is an alternative name for the Kispoko, a historical division or clan of the Shawnee people in North America.
|
E969062
|
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: Kispogoi | Statement: [Kispoko, hasAlternativeName, Kispogoi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kispogoi Context triple: [Kispoko, hasAlternativeName, Kispogoi]
-
A.
Tótkomlós
Tótkomlós is a small town in southeastern Hungary known for its agricultural surroundings and traditional rural character.
-
B.
Bicske
Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
-
C.
Cegléd
Cegléd is a historic town in central Hungary known for its spa culture, agricultural markets, and role as a regional transport hub.
-
D.
Czipra
Czipra is a key gypsy fortune-teller and wise-woman character in Johann Strauss II’s operetta "Der Zigeunerbaron."
-
E.
Horki
Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
- 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: Kispogoi Triple: [Kispoko, hasAlternativeName, Kispogoi]
Generated description
Kispogoi is an alternative name for the Kispoko, a historical division or clan of the Shawnee people in North America.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kispogoi Target entity description: Kispogoi is an alternative name for the Kispoko, a historical division or clan of the Shawnee people in North America.
-
A.
Tótkomlós
Tótkomlós is a small town in southeastern Hungary known for its agricultural surroundings and traditional rural character.
-
B.
Bicske
Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
-
C.
Cegléd
Cegléd is a historic town in central Hungary known for its spa culture, agricultural markets, and role as a regional transport hub.
-
D.
Czipra
Czipra is a key gypsy fortune-teller and wise-woman character in Johann Strauss II’s operetta "Der Zigeunerbaron."
-
E.
Horki
Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915760d208190b68f5e024b3676ba |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a75f77881908345a585a689f69f |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bda16e48190af8abc0aa8ef41f0 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60cd1668881908f43d895fcfba0aa |
completed | May 2, 2026, 2:40 p.m. |
Created at: April 8, 2026, 9:49 p.m.