Triple
T7377315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yueyang |
E170158
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Miluo
Miluo is a county-level city in Hunan Province, China, known for its location along the Miluo River and its cultural association with the Dragon Boat Festival.
|
E660003
|
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: Miluo | Statement: [Yueyang, locatedNear, Miluo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miluo Context triple: [Yueyang, locatedNear, Miluo]
-
A.
Muyil
Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
-
B.
Mahuva
Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
-
C.
Muribenua
Muribenua is a village on the low-lying coral atoll of Nikunau in the Republic of Kiribati, a Pacific island nation.
-
D.
Miasino
Miasino is a small Italian town in the Piedmont region, known for its scenic location near Lake Orta and its historic villas and churches.
-
E.
Marum
Marum is a former municipality in the Dutch province of Groningen that became part of the larger municipality of Westerkwartier after an administrative reorganization.
- 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: Miluo Triple: [Yueyang, locatedNear, Miluo]
Generated description
Miluo is a county-level city in Hunan Province, China, known for its location along the Miluo River and its cultural association with the Dragon Boat Festival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miluo Target entity description: Miluo is a county-level city in Hunan Province, China, known for its location along the Miluo River and its cultural association with the Dragon Boat Festival.
-
A.
Muyil
Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
-
B.
Mahuva
Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
-
C.
Muribenua
Muribenua is a village on the low-lying coral atoll of Nikunau in the Republic of Kiribati, a Pacific island nation.
-
D.
Miasino
Miasino is a small Italian town in the Piedmont region, known for its scenic location near Lake Orta and its historic villas and churches.
-
E.
Marum
Marum is a former municipality in the Dutch province of Groningen that became part of the larger municipality of Westerkwartier after an administrative reorganization.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1aa12888190b81e37b9fcd2adc0 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802d15a8481908e43701459607276 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c803ad72308190a9640f2fb043daab |
completed | March 28, 2026, 4:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8043121988190b7c9ea0f786296c2 |
completed | March 28, 2026, 4:39 p.m. |
Created at: March 27, 2026, 3:07 p.m.