Triple
T11803760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanthawaddy Kingdom |
E280691
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Wareru
Wareru was a 13th-century Mon ruler who established an independent kingdom in Lower Burma that became known as the Hanthawaddy Kingdom.
|
E951399
|
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: Wareru | Statement: [Hanthawaddy Kingdom, foundedBy, Wareru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wareru Context triple: [Hanthawaddy Kingdom, foundedBy, Wareru]
-
A.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
-
B.
Kudawa
Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
-
C.
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
-
D.
Tenryu
Tenryu is the original name of Japan's famed Blue Impulse aerobatic demonstration team.
-
E.
Sawata
Sawata was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
- 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: Wareru Triple: [Hanthawaddy Kingdom, foundedBy, Wareru]
Generated description
Wareru was a 13th-century Mon ruler who established an independent kingdom in Lower Burma that became known as the Hanthawaddy Kingdom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wareru Target entity description: Wareru was a 13th-century Mon ruler who established an independent kingdom in Lower Burma that became known as the Hanthawaddy Kingdom.
-
A.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
-
B.
Kudawa
Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
-
C.
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
-
D.
Tenryu
Tenryu is the original name of Japan's famed Blue Impulse aerobatic demonstration team.
-
E.
Sawata
Sawata was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a5a2048190b68027f622366079 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f280fe1b2881908c32b920cdaf04df |
completed | April 29, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69f28a8e64ac8190ba7637fd00e024bd |
completed | April 29, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28d4e341c8190abc8febc3b26a617 |
completed | April 29, 2026, 10:59 p.m. |
Created at: April 8, 2026, 9:42 p.m.