Triple
T14614139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liang |
E343037
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Liong
Liong is an alternative romanization or spelling variant of the Chinese surname or given name commonly written as "Liang."
|
E1111414
|
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: Liong | Statement: [Liang, hasVariant, Liong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liong Context triple: [Liang, hasVariant, Liong]
-
A.
Luilang
Luilang is an extinct Austronesian language once spoken by an indigenous group in northern Taiwan.
-
B.
Leuwiliang
Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
-
C.
Lunglei
Lunglei is a major town in the Indian state of Mizoram and an important cultural and administrative center for the Mizo people.
-
D.
Cho Lon
Cho Lon is Ho Chi Minh City's historic Chinatown district, known for its bustling markets, Chinese temples, and vibrant commercial activity.
-
E.
Lion-Mher
Lion-Mher is a heroic figure from the Armenian epic cycle "Daredevils of Sassoun," renowned for his extraordinary strength and lion-like bravery.
- 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: Liong Triple: [Liang, hasVariant, Liong]
Generated description
Liong is an alternative romanization or spelling variant of the Chinese surname or given name commonly written as "Liang."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liong Target entity description: Liong is an alternative romanization or spelling variant of the Chinese surname or given name commonly written as "Liang."
-
A.
Luilang
Luilang is an extinct Austronesian language once spoken by an indigenous group in northern Taiwan.
-
B.
Leuwiliang
Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
-
C.
Lunglei
Lunglei is a major town in the Indian state of Mizoram and an important cultural and administrative center for the Mizo people.
-
D.
Cho Lon
Cho Lon is Ho Chi Minh City's historic Chinatown district, known for its bustling markets, Chinese temples, and vibrant commercial activity.
-
E.
Lion-Mher
Lion-Mher is a heroic figure from the Armenian epic cycle "Daredevils of Sassoun," renowned for his extraordinary strength and lion-like bravery.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb45264988190a1df13e8b54a85bd |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5cbcf08819084313bf28f0bb3e1 |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd6885a0c8190957e7b056c70c8f4 |
completed | May 8, 2026, 12:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd722462881909eb0d6fea3bb1cf1 |
completed | May 8, 2026, 12:29 p.m. |
Created at: April 10, 2026, 1:25 a.m.