Triple
T7901161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Sama |
E183454
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Sitangkai Sama
Sitangkai Sama is a dialect of the Central Sama language spoken primarily by Sama communities in and around Sitangkai in the southern Philippines.
|
E700460
|
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: Sitangkai Sama | Statement: [Central Sama, hasDialect, Sitangkai Sama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sitangkai Sama Context triple: [Central Sama, hasDialect, Sitangkai Sama]
-
A.
Laksamana
Laksamana is a prominent heroic figure in Malay literary tradition, often depicted as a loyal and valiant warrior and royal commander.
-
B.
Galang
Galang is an island in Indonesia’s Riau Islands province, historically known for hosting a Vietnamese refugee camp during the late 20th century.
-
C.
Pakpak Keppas
Pakpak Keppas is a regional dialect of the Pakpak Dairi language spoken by the Pakpak ethnic community in parts of North Sumatra, Indonesia.
-
D.
Bantia
Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
-
E.
Rangloi
Rangloi is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan 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: Sitangkai Sama Triple: [Central Sama, hasDialect, Sitangkai Sama]
Generated description
Sitangkai Sama is a dialect of the Central Sama language spoken primarily by Sama communities in and around Sitangkai in the southern Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sitangkai Sama Target entity description: Sitangkai Sama is a dialect of the Central Sama language spoken primarily by Sama communities in and around Sitangkai in the southern Philippines.
-
A.
Laksamana
Laksamana is a prominent heroic figure in Malay literary tradition, often depicted as a loyal and valiant warrior and royal commander.
-
B.
Galang
Galang is an island in Indonesia’s Riau Islands province, historically known for hosting a Vietnamese refugee camp during the late 20th century.
-
C.
Pakpak Keppas
Pakpak Keppas is a regional dialect of the Pakpak Dairi language spoken by the Pakpak ethnic community in parts of North Sumatra, Indonesia.
-
D.
Bantia
Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
-
E.
Rangloi
Rangloi is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a3f4c2c81909ae70b0acf4729be |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bbd93348190883c6152f18f8214 |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb7632cbbc819087107c8d2172a038 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb64eee408190a66cbd0cba3054b4 |
completed | March 31, 2026, 11:55 a.m. |
Created at: March 30, 2026, 5:02 p.m.