Triple
T7892326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mu Ko Lanta National Park |
E183264
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object | Had Mai Ngam |
E697332
|
NE FINISHED |
How this triple was built (2 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: Had Mai Ngam | Statement: [Mu Ko Lanta National Park, hasBeach, Had Mai Ngam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Had Mai Ngam Context triple: [Mu Ko Lanta National Park, hasBeach, Had Mai Ngam]
-
A.
Had Hin Ngam
chosen
Had Hin Ngam is a scenic beach within Thailand’s Mu Ko Lanta National Park, known for its tranquil setting and natural coastal beauty.
-
B.
Nang Sida
Nang Sida is the Thai Ramakien adaptation of Sita, the virtuous heroine and wife of the hero Phra Ram, based on the Hindu epic Ramayana.
-
C.
Ban Mae Haad
Ban Mae Haad is the main port village and one of the primary tourist hubs on the island of Ko Tao in Thailand.
-
D.
Semnai Theai
Semnai Theai are revered chthonic deities in ancient Greek religion associated with justice, retribution, and the protection of civic and moral order.
-
E.
Ngam
Ngam is a dialect of the Sara language spoken by communities in parts of Central Africa, particularly in Chad and the surrounding region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39fef2e48190a6282c217c33c57a |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdfc1b05481908af081f54bb1914d |
completed | March 31, 2026, 2:52 p.m. |
Created at: March 30, 2026, 5 p.m.