Triple
T2749854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bihar |
E60958
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Munger
Munger is a historic city in the eastern Indian state of Bihar, known for its ancient fort, spiritual centers, and traditional gun-making industry.
|
E295114
|
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: Munger | Statement: [Bihar, containsCity, Munger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munger Context triple: [Bihar, containsCity, Munger]
-
A.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
B.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
C.
Mansueto
Mansueto is an Italian-origin surname most notably associated with billionaire entrepreneur and Morningstar founder Joe Mansueto.
-
D.
Galt
Galt is a small city in Sacramento County, California, known for its residential communities and proximity to the Sacramento metropolitan area.
-
E.
Kempner
Kempner is a surname most notably associated with Karen Kempner Zuckerberg, the mother of Facebook co-founder Mark Zuckerberg.
- 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: Munger Triple: [Bihar, containsCity, Munger]
Generated description
Munger is a historic city in the eastern Indian state of Bihar, known for its ancient fort, spiritual centers, and traditional gun-making industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Munger Target entity description: Munger is a historic city in the eastern Indian state of Bihar, known for its ancient fort, spiritual centers, and traditional gun-making industry.
-
A.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
B.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
C.
Mansueto
Mansueto is an Italian-origin surname most notably associated with billionaire entrepreneur and Morningstar founder Joe Mansueto.
-
D.
Galt
Galt is a small city in Sacramento County, California, known for its residential communities and proximity to the Sacramento metropolitan area.
-
E.
Kempner
Kempner is a surname most notably associated with Karen Kempner Zuckerberg, the mother of Facebook co-founder Mark Zuckerberg.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb52b1d48190b6ab511cc8834a14 |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbd573988190988d7af4997202fb |
completed | March 10, 2026, 6:36 a.m. |
| NEDg | Description generation | batch_69afbc67c39c8190b5932c0e23595f64 |
completed | March 10, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd2d8a2c8190896a9154ebbd8bab |
completed | March 10, 2026, 6:41 a.m. |
Created at: March 6, 2026, 9:56 p.m.