Triple
T16567841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mofu-Gudur |
E402507
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Gudur
Gudur is a town in northern Cameroon that serves as a local center for the Mofu-Gudur ethnic group and their language.
|
E1221460
|
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: Gudur | Statement: [Mofu-Gudur, hasAlternativeName, Gudur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gudur Context triple: [Mofu-Gudur, hasAlternativeName, Gudur]
-
A.
Somajiguda
Somajiguda is a prominent commercial and residential neighborhood in Hyderabad, India, known for its shopping centers, corporate offices, and proximity to major city landmarks.
-
B.
Jwalapur
Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
-
C.
Parbhani
Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
-
D.
Nanakramguda
Nanakramguda is a prominent IT and financial district in Hyderabad, India, known for housing major technology parks, corporate offices, and the city’s financial services hub.
-
E.
Ghodageri
Ghodageri is a village in Karnataka, India, known as the birthplace of renowned Kannada writer and Jnanpith awardee Chandrashekhara Kambara.
- 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: Gudur Triple: [Mofu-Gudur, hasAlternativeName, Gudur]
Generated description
Gudur is a town in northern Cameroon that serves as a local center for the Mofu-Gudur ethnic group and their language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gudur Target entity description: Gudur is a town in northern Cameroon that serves as a local center for the Mofu-Gudur ethnic group and their language.
-
A.
Somajiguda
Somajiguda is a prominent commercial and residential neighborhood in Hyderabad, India, known for its shopping centers, corporate offices, and proximity to major city landmarks.
-
B.
Jwalapur
Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
-
C.
Parbhani
Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
-
D.
Nanakramguda
Nanakramguda is a prominent IT and financial district in Hyderabad, India, known for housing major technology parks, corporate offices, and the city’s financial services hub.
-
E.
Ghodageri
Ghodageri is a village in Karnataka, India, known as the birthplace of renowned Kannada writer and Jnanpith awardee Chandrashekhara Kambara.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35772f6608190a125c7d3c199c3e2 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ee3dcbc819087ea66b262585232 |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a006ff5bdb88190be90d7446e24b61f |
completed | May 10, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007088fd988190b3dfef081769d03e |
completed | May 10, 2026, 11:48 a.m. |
Created at: April 10, 2026, 5:16 a.m.