Triple
T7026835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Jeolla region |
E162969
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
|
E636077
|
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: Naju | Statement: [South Jeolla region, hasCity, Naju]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naju Context triple: [South Jeolla region, hasCity, Naju]
-
A.
Nain
Nain is a renowned Iranian town famous for producing high-quality, finely knotted Persian carpets characterized by intricate designs and a typically light color palette.
-
B.
Nain
Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
-
C.
Nalik
Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
-
D.
Achagua
Achagua are an Indigenous people of the Orinoco region in Colombia and Venezuela, traditionally known for their riverine lifestyle, agriculture, and distinct Arawakan language.
-
E.
Naul
Naul is a small rural village in north County Dublin, Ireland, known for its scenic countryside and historic features such as The Seamus Ennis Arts Centre.
- 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: Naju Triple: [South Jeolla region, hasCity, Naju]
Generated description
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naju Target entity description: Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
A.
Nain
Nain is a renowned Iranian town famous for producing high-quality, finely knotted Persian carpets characterized by intricate designs and a typically light color palette.
-
B.
Nain
Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
-
C.
Nalik
Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
-
D.
Achagua
Achagua are an Indigenous people of the Orinoco region in Colombia and Venezuela, traditionally known for their riverine lifestyle, agriculture, and distinct Arawakan language.
-
E.
Naul
Naul is a small rural village in north County Dublin, Ireland, known for its scenic countryside and historic features such as The Seamus Ennis Arts Centre.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fd6ab48190865271e16e8ff669 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77588285481909799a2bb76921b9a |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c777902cbc8190b24ee5e441c5607e |
completed | March 28, 2026, 6:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c77807d33c8190bb3e236829f06071 |
completed | March 28, 2026, 6:41 a.m. |
Created at: March 27, 2026, 2:35 p.m.