Triple
T9668001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Muye |
E233753
|
entity |
| Predicate | tookPlaceIn |
P40
|
FINISHED |
| Object |
Muye
Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
|
E813038
|
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: Muye | Statement: [Battle of Muye, tookPlaceIn, Muye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muye Context triple: [Battle of Muye, tookPlaceIn, Muye]
-
A.
Munji
Munji is a lesser-known Eastern Iranian language spoken by the Munji people in the remote Munjan Valley of northeastern Afghanistan.
-
B.
Tumshuq
Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
-
C.
Rongji
Rongji is the given name of Zhu Rongji, the former Premier of the People's Republic of China known for his economic reforms and administrative efficiency.
-
D.
Eonyang
Eonyang is a town in South Korea that serves as the administrative and commercial center of Ulju County in Ulsan.
-
E.
Minginish
Minginish is a rugged peninsula on the Isle of Skye in Scotland, known for its dramatic coastal scenery and proximity to the Cuillin mountains.
- 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: Muye Triple: [Battle of Muye, tookPlaceIn, Muye]
Generated description
Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Muye Target entity description: Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
-
A.
Munji
Munji is a lesser-known Eastern Iranian language spoken by the Munji people in the remote Munjan Valley of northeastern Afghanistan.
-
B.
Tumshuq
Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
-
C.
Rongji
Rongji is the given name of Zhu Rongji, the former Premier of the People's Republic of China known for his economic reforms and administrative efficiency.
-
D.
Eonyang
Eonyang is a town in South Korea that serves as the administrative and commercial center of Ulju County in Ulsan.
-
E.
Minginish
Minginish is a rugged peninsula on the Isle of Skye in Scotland, known for its dramatic coastal scenery and proximity to the Cuillin mountains.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3c06e4819080c1b8e66faa482f |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a208798819088db055e44d288e3 |
completed | April 4, 2026, 10:01 p.m. |
| NEDg | Description generation | batch_69d18ab1239c8190b4a66ccd0db35ffb |
completed | April 4, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18b7f7510819083a402d6802c7d95 |
completed | April 4, 2026, 10:06 p.m. |
Created at: March 30, 2026, 8:15 p.m.