Triple
T12749417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tai Lue |
E304690
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
ᦅᧄᦺᦑᦟᦹᧉ (Lue)
ᦅᧄᦺᦑᦟᦹᧉ (Lue) is the endonym for the Tai Lue language, a Tai-Kadai language spoken primarily by the Tai Lue people in parts of China and mainland Southeast Asia.
|
E999419
|
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: ᦅᧄᦺᦑᦟᦹᧉ (Lue) | Statement: [Tai Lue, nativeName, ᦅᧄᦺᦑᦟᦹᧉ (Lue) ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ᦅᧄᦺᦑᦟᦹᧉ (Lue) Context triple: [Tai Lue, nativeName, ᦅᧄᦺᦑᦟᦹᧉ (Lue) ]
-
A.
Lue
Lue is a small rural village in New South Wales, Australia, known for its historic charm and surrounding wine and farming country.
-
B.
Ao Luek
Ao Luek is a coastal district in Krabi Province, southern Thailand, known for its karst landscapes, caves, and proximity to island and marine attractions.
-
C.
Léez
Léez is a river in southwestern France that serves as a tributary within the Gave de Pau river system.
-
D.
Luenell
Luenell is an American comedian and actress best known for her bold, irreverent stand-up and memorable supporting roles in film and television.
-
E.
LEAL
LEAL is the ICAO airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
- 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: ᦅᧄᦺᦑᦟᦹᧉ (Lue) Triple: [Tai Lue, nativeName, ᦅᧄᦺᦑᦟᦹᧉ (Lue) ]
Generated description
ᦅᧄᦺᦑᦟᦹᧉ (Lue) is the endonym for the Tai Lue language, a Tai-Kadai language spoken primarily by the Tai Lue people in parts of China and mainland Southeast Asia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ᦅᧄᦺᦑᦟᦹᧉ (Lue) Target entity description: ᦅᧄᦺᦑᦟᦹᧉ (Lue) is the endonym for the Tai Lue language, a Tai-Kadai language spoken primarily by the Tai Lue people in parts of China and mainland Southeast Asia.
-
A.
Lue
Lue is a small rural village in New South Wales, Australia, known for its historic charm and surrounding wine and farming country.
-
B.
Ao Luek
Ao Luek is a coastal district in Krabi Province, southern Thailand, known for its karst landscapes, caves, and proximity to island and marine attractions.
-
C.
Léez
Léez is a river in southwestern France that serves as a tributary within the Gave de Pau river system.
-
D.
Luenell
Luenell is an American comedian and actress best known for her bold, irreverent stand-up and memorable supporting roles in film and television.
-
E.
LEAL
LEAL is the ICAO airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd75f508190aaae0969f33d1523 |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c964c508190b4d6a094b388280b |
completed | May 2, 2026, 10:37 p.m. |
| NEDg | Description generation | batch_69f67d663fd08190a00b30a7ff260c70 |
completed | May 2, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67e12b8148190958b63ba114d6221 |
completed | May 2, 2026, 10:43 p.m. |
Created at: April 9, 2026, 5:27 p.m.