Triple
T9551026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pearic languages |
E230420
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Khlong Hin Chong |
E805418
|
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: Khlong Hin Chong | Statement: [Pearic languages, hasMember, Khlong Hin Chong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khlong Hin Chong Context triple: [Pearic languages, hasMember, Khlong Hin Chong]
-
A.
Khlong Phlu Chong
chosen
Khlong Phlu Chong is a Pearic language spoken by an indigenous minority group in parts of mainland Southeast Asia, likely in Cambodia or eastern Thailand.
-
B.
Laem Chabang
Laem Chabang is Thailand’s largest deep-sea commercial port and a major hub for maritime trade in Southeast Asia.
-
C.
Khlong Sok River
Khlong Sok River is a scenic waterway in southern Thailand known for flowing through the rainforest and limestone karst landscape of Khao Sok National Park.
-
D.
Thung Nai
Thung Nai is a scenic lakeside valley in northern Vietnam known for its karst islands, tranquil reservoir views, and boat-based eco-tourism.
-
E.
Wat Pikulthong
Wat Pikulthong is a notable Buddhist temple and local religious landmark located in Tumpat, Kelantan, Malaysia.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd991df7308190a56d95f195627513 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1528068a481908d5c8037b4591db5 |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 8:02 p.m.