Triple
T7710100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nghia Hung District |
E174725
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Lien Hai
Lien Hai is a township in Vietnam that serves as the administrative center of Nghia Hung District in Nam Dinh Province.
|
E682363
|
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: Lien Hai | Statement: [Nghia Hung District, hasCapital, Lien Hai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lien Hai Context triple: [Nghia Hung District, hasCapital, Lien Hai]
-
A.
Houhai
Houhai is a coastal area in Shenzhen, China, known for its modern waterfront developments, shopping centers, and vibrant nightlife.
-
B.
Hung Yen
Hung Yen is a small, predominantly agricultural province in northern Vietnam known for its lychee-like longan fruit and its location near Hanoi in the Red River Delta region.
-
C.
Nanhai
Nanhai is an alternative name for Nanhai Lake, a notable body of water often associated with scenic and cultural significance in its region.
-
D.
Nan’ao
Nan’ao is a coastal area and popular seaside destination within Shenzhen’s Dapeng Peninsula, known for its beaches, fishing villages, and marine scenery.
-
E.
Chau
Chau is a romanized surname and given name of Chinese and Vietnamese origin, commonly used as a variant spelling of Zhao and several other East Asian names.
- 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: Lien Hai Triple: [Nghia Hung District, hasCapital, Lien Hai]
Generated description
Lien Hai is a township in Vietnam that serves as the administrative center of Nghia Hung District in Nam Dinh Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lien Hai Target entity description: Lien Hai is a township in Vietnam that serves as the administrative center of Nghia Hung District in Nam Dinh Province.
-
A.
Houhai
Houhai is a coastal area in Shenzhen, China, known for its modern waterfront developments, shopping centers, and vibrant nightlife.
-
B.
Hung Yen
Hung Yen is a small, predominantly agricultural province in northern Vietnam known for its lychee-like longan fruit and its location near Hanoi in the Red River Delta region.
-
C.
Nanhai
Nanhai is an alternative name for Nanhai Lake, a notable body of water often associated with scenic and cultural significance in its region.
-
D.
Nan’ao
Nan’ao is a coastal area and popular seaside destination within Shenzhen’s Dapeng Peninsula, known for its beaches, fishing villages, and marine scenery.
-
E.
Chau
Chau is a romanized surname and given name of Chinese and Vietnamese origin, commonly used as a variant spelling of Zhao and several other East Asian names.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ad6b788190892b96ab523d111f |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8accc07f4819089a07726c8313839 |
completed | March 29, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69c8add4153081909f8d77b019a64a2f |
completed | March 29, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8ae60b30881908c100ae489d6577e |
completed | March 29, 2026, 4:45 a.m. |
Created at: March 27, 2026, 4:04 p.m.