Triple
T7794148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Mangrai |
E180255
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Mengrai
Mengrai was the 13th-century founder and first king of the Lanna Kingdom in northern Thailand, renowned for establishing Chiang Mai as its capital.
|
E693968
|
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: Mengrai | Statement: [King Mangrai, alsoKnownAs, Mengrai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mengrai Context triple: [King Mangrai, alsoKnownAs, Mengrai]
-
A.
Mount Soputan
Mount Soputan is an active stratovolcano located on the northern arm of Sulawesi in Indonesia, known for its frequent explosive eruptions.
-
B.
Taur Matan Ruak
Taur Matan Ruak is an East Timorese military leader and politician who served as commander of the national defence force and later as President of Timor-Leste.
-
C.
Mount Loilaeng
Mount Loilaeng is a prominent peak in eastern Myanmar, recognized as the highest mountain in the Shan Hills range.
-
D.
Mount Loke
Mount Loke is a peak in Antarctica’s Olympus Range, part of the McMurdo Dry Valleys region known for its cold, arid, and largely ice-free landscape.
-
E.
Mount Nanlaud
Mount Nanlaud is the tallest mountain on the Micronesian island of Pohnpei, known for its lush tropical rainforest and frequent cloud cover.
- 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: Mengrai Triple: [King Mangrai, alsoKnownAs, Mengrai]
Generated description
Mengrai was the 13th-century founder and first king of the Lanna Kingdom in northern Thailand, renowned for establishing Chiang Mai as its capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mengrai Target entity description: Mengrai was the 13th-century founder and first king of the Lanna Kingdom in northern Thailand, renowned for establishing Chiang Mai as its capital.
-
A.
Mount Soputan
Mount Soputan is an active stratovolcano located on the northern arm of Sulawesi in Indonesia, known for its frequent explosive eruptions.
-
B.
Taur Matan Ruak
Taur Matan Ruak is an East Timorese military leader and politician who served as commander of the national defence force and later as President of Timor-Leste.
-
C.
Mount Loilaeng
Mount Loilaeng is a prominent peak in eastern Myanmar, recognized as the highest mountain in the Shan Hills range.
-
D.
Mount Loke
Mount Loke is a peak in Antarctica’s Olympus Range, part of the McMurdo Dry Valleys region known for its cold, arid, and largely ice-free landscape.
-
E.
Mount Nanlaud
Mount Nanlaud is the tallest mountain on the Micronesian island of Pohnpei, known for its lush tropical rainforest and frequent cloud cover.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae939c7388190b36d3e746be27a4d |
completed | March 30, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb13dbe1f88190bde2c5c76dcfeb8f |
completed | March 31, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69cb1730900c8190bc0322c4b6a3772f |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a3e6da08190bf4f82b59db41333 |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:31 p.m.