Triple
T9269426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goemai |
E222784
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Ankwei-Goemai
Ankwei-Goemai is an alternative name for the Goemai language spoken by the Goemai people of central Nigeria.
|
E788818
|
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: Ankwei-Goemai | Statement: [Goemai, hasAlternativeName, Ankwei-Goemai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ankwei-Goemai Context triple: [Goemai, hasAlternativeName, Ankwei-Goemai]
-
A.
Baeggu
Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
-
B.
Gukje Sijang
Gukje Sijang is one of South Korea’s largest and most famous traditional markets, located in Busan and known for its wide variety of goods and bustling atmosphere.
-
C.
Mandu
Mandu is a historic fortified city in central India renowned for its Afghan-era architecture, romantic legends, and scenic hilltop setting.
-
D.
Jagalchi Sijang
Jagalchi Sijang is South Korea’s largest and most famous seafood market, located along the waterfront in Busan and renowned for its vast array of fresh and live seafood.
-
E.
Bulgogi
Bulgogi is a popular Korean dish of thinly sliced, marinated beef grilled or pan-cooked for a savory-sweet flavor.
- 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: Ankwei-Goemai Triple: [Goemai, hasAlternativeName, Ankwei-Goemai]
Generated description
Ankwei-Goemai is an alternative name for the Goemai language spoken by the Goemai people of central Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ankwei-Goemai Target entity description: Ankwei-Goemai is an alternative name for the Goemai language spoken by the Goemai people of central Nigeria.
-
A.
Baeggu
Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
-
B.
Gukje Sijang
Gukje Sijang is one of South Korea’s largest and most famous traditional markets, located in Busan and known for its wide variety of goods and bustling atmosphere.
-
C.
Mandu
Mandu is a historic fortified city in central India renowned for its Afghan-era architecture, romantic legends, and scenic hilltop setting.
-
D.
Jagalchi Sijang
Jagalchi Sijang is South Korea’s largest and most famous seafood market, located along the waterfront in Busan and renowned for its vast array of fresh and live seafood.
-
E.
Bulgogi
Bulgogi is a popular Korean dish of thinly sliced, marinated beef grilled or pan-cooked for a savory-sweet flavor.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd074ef7408190b213c09491918132 |
completed | April 1, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c2239a08190b954c8c57ced8fd2 |
completed | April 4, 2026, 5:05 a.m. |
| NEDg | Description generation | batch_69d09cf11e488190b61f4a61002454e6 |
completed | April 4, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09e2450048190b5aa31507e54d6c8 |
completed | April 4, 2026, 5:14 a.m. |
Created at: March 30, 2026, 7:33 p.m.