Triple
T6956385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indore |
E161252
|
entity |
| Predicate | hasTransportSystem |
P473
|
FINISHED |
| Object |
iBus
iBus is a bus rapid transit (BRT) system serving the city of Indore in the Indian state of Madhya Pradesh.
|
E631010
|
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: iBus | Statement: [Indore, hasTransportSystem, iBus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: iBus Context triple: [Indore, hasTransportSystem, iBus]
-
A.
Hangul Jamo
Hangul Jamo is a Unicode block that encodes the individual consonant and vowel letters used to write the Korean Hangul script.
-
B.
Zhuyin
Zhuyin is a phonetic writing system for transcribing the sounds of Mandarin Chinese, primarily used in Taiwan for teaching pronunciation and literacy.
-
C.
Cassidy-JLU writing system
The Cassidy-JLU writing system is a standardized orthography developed for accurately representing the sounds and grammar of Jamaican Patois in written form.
-
D.
Lisan
Lisan is the given name of Li Lisan, a prominent early leader of the Chinese Communist movement.
-
E.
Limbu
Limbu are an indigenous ethnic group from eastern Nepal and neighboring regions, known for their distinct language, culture, and traditions within the broader Kirati community.
- 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: iBus Triple: [Indore, hasTransportSystem, iBus]
Generated description
iBus is a bus rapid transit (BRT) system serving the city of Indore in the Indian state of Madhya Pradesh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: iBus Target entity description: iBus is a bus rapid transit (BRT) system serving the city of Indore in the Indian state of Madhya Pradesh.
-
A.
Hangul Jamo
Hangul Jamo is a Unicode block that encodes the individual consonant and vowel letters used to write the Korean Hangul script.
-
B.
Zhuyin
Zhuyin is a phonetic writing system for transcribing the sounds of Mandarin Chinese, primarily used in Taiwan for teaching pronunciation and literacy.
-
C.
Cassidy-JLU writing system
The Cassidy-JLU writing system is a standardized orthography developed for accurately representing the sounds and grammar of Jamaican Patois in written form.
-
D.
Lisan
Lisan is the given name of Li Lisan, a prominent early leader of the Chinese Communist movement.
-
E.
Limbu
Limbu are an indigenous ethnic group from eastern Nepal and neighboring regions, known for their distinct language, culture, and traditions within the broader Kirati community.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacf8c8c8190a25dbacebeb4b66e |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75888d48c81908a8dbd16d7591b55 |
completed | March 28, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69c7596571a48190a8a04b9b24b5e4cb |
completed | March 28, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75a57dc308190a691d3ae55cc39ef |
completed | March 28, 2026, 4:34 a.m. |
Created at: March 27, 2026, 2:29 p.m.