Triple
T8751126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawangan language |
E207956
|
entity |
| Predicate | hasAlternateName |
P39
|
FINISHED |
| Object |
Luangan
Luangan is an Austronesian language spoken by the Lawangan people of central and eastern Borneo in Indonesia.
|
E755361
|
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: Luangan | Statement: [Lawangan language, hasAlternateName, Luangan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luangan Context triple: [Lawangan language, hasAlternateName, Luangan]
-
A.
Nong Khai
Nong Khai is a riverside town in northeastern Thailand on the Mekong River, known as a key gateway to Laos and the nearby capital city of Vientiane.
-
B.
Kluang
Kluang is a town and district capital located in the central part of Johor, Malaysia, known for its coffee culture and surrounding agricultural areas.
-
C.
Sattahip
Sattahip is a coastal district in Chonburi Province, Thailand, known for its naval base, beaches, and proximity to major tourist destinations like Pattaya.
-
D.
Hat Yai
Hat Yai is a major commercial and transportation hub city in southern Thailand, known for its bustling markets and proximity to the Malaysian border.
-
E.
Phatthalung
Phatthalung is a town in southern Thailand that serves as the administrative and cultural center of Phatthalung province.
- 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: Luangan Triple: [Lawangan language, hasAlternateName, Luangan]
Generated description
Luangan is an Austronesian language spoken by the Lawangan people of central and eastern Borneo in Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luangan Target entity description: Luangan is an Austronesian language spoken by the Lawangan people of central and eastern Borneo in Indonesia.
-
A.
Nong Khai
Nong Khai is a riverside town in northeastern Thailand on the Mekong River, known as a key gateway to Laos and the nearby capital city of Vientiane.
-
B.
Kluang
Kluang is a town and district capital located in the central part of Johor, Malaysia, known for its coffee culture and surrounding agricultural areas.
-
C.
Sattahip
Sattahip is a coastal district in Chonburi Province, Thailand, known for its naval base, beaches, and proximity to major tourist destinations like Pattaya.
-
D.
Hat Yai
Hat Yai is a major commercial and transportation hub city in southern Thailand, known for its bustling markets and proximity to the Malaysian border.
-
E.
Phatthalung
Phatthalung is a town in southern Thailand that serves as the administrative and cultural center of Phatthalung province.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da774f4819099e5bfd12973d946 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4326d8cc8190900f5f91da6ef6c8 |
completed | April 3, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69cf4462da648190a621397fa88dd4bd |
completed | April 3, 2026, 4:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf454c4d248190a925b15c23af1a24 |
completed | April 3, 2026, 4:42 a.m. |
Created at: March 30, 2026, 6:39 p.m.