Triple
T13644006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Site 1 (Thong Hai Hin) |
E326055
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Thong Hai Hin
Thong Hai Hin is an archaeological site in Laos known for its ancient stone jars and cultural significance.
|
E1053682
|
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: Thong Hai Hin | Statement: [Site 1 (Thong Hai Hin), hasName, Thong Hai Hin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thong Hai Hin Context triple: [Site 1 (Thong Hai Hin), hasName, Thong Hai Hin]
-
A.
Wihan Lai Kham
Wihan Lai Kham is a renowned Lanna-style ordination hall in Chiang Mai, Thailand, celebrated for its exquisite murals and traditional northern Thai architecture.
-
B.
Haad Yao
Haad Yao is a popular long sandy beach on the northwest coast of Ko Pha Ngan in Thailand, known for its clear waters, sunsets, and relaxed atmosphere.
-
C.
Hong Ngu
Hong Ngu is a town in Vietnam’s Mekong Delta region, located in Dong Thap Province near the border with Cambodia.
-
D.
Shom Peng
Shom Peng is an indigenous language spoken by the Shompen people of Great Nicobar Island in India’s Nicobar Islands.
-
E.
Haad Tien
Haad Tien is a quiet, scenic beach on Thailand’s Ko Pha Ngan island, known for its relaxed atmosphere, clear waters, and natural surroundings.
- 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: Thong Hai Hin Triple: [Site 1 (Thong Hai Hin), hasName, Thong Hai Hin]
Generated description
Thong Hai Hin is an archaeological site in Laos known for its ancient stone jars and cultural significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thong Hai Hin Target entity description: Thong Hai Hin is an archaeological site in Laos known for its ancient stone jars and cultural significance.
-
A.
Wihan Lai Kham
Wihan Lai Kham is a renowned Lanna-style ordination hall in Chiang Mai, Thailand, celebrated for its exquisite murals and traditional northern Thai architecture.
-
B.
Haad Yao
Haad Yao is a popular long sandy beach on the northwest coast of Ko Pha Ngan in Thailand, known for its clear waters, sunsets, and relaxed atmosphere.
-
C.
Hong Ngu
Hong Ngu is a town in Vietnam’s Mekong Delta region, located in Dong Thap Province near the border with Cambodia.
-
D.
Shom Peng
Shom Peng is an indigenous language spoken by the Shompen people of Great Nicobar Island in India’s Nicobar Islands.
-
E.
Haad Tien
Haad Tien is a quiet, scenic beach on Thailand’s Ko Pha Ngan island, known for its relaxed atmosphere, clear waters, and natural surroundings.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5ac2af88190976abe6606994eef |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af74a548190bc8bbe1a1410997a |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78bd52b748190ab483ec7634a6549 |
completed | May 3, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78d277c5c8190970cb3cd0fd32905 |
completed | May 3, 2026, 6 p.m. |
Created at: April 9, 2026, 9:51 p.m.