Triple
T9051141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arem |
E216884
|
entity |
| Predicate | neighboringEthnicGroups |
P11274
|
FINISHED |
| Object | Phong |
E775476
|
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: Phong | Statement: [Arem, neighboringEthnicGroups, Phong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phong Context triple: [Arem, neighboringEthnicGroups, Phong]
-
A.
Phong
chosen
The Phong are an ethnic group of Southeast Asia, traditionally living in the upland regions of Laos and neighboring areas with distinct language and cultural practices.
-
B.
Modo
Modo is a Swedish professional ice hockey club known for developing numerous NHL players and competing in the country’s top leagues.
-
C.
Trucolor
Trucolor was a mid-20th-century color motion picture process developed by Republic Pictures, used primarily in their Westerns and adventure films.
-
D.
NVIDIA Freestyle
NVIDIA Freestyle is a GeForce Experience feature that lets gamers apply real-time post-processing filters and visual enhancements directly to their games.
-
E.
Glespin
Glespin is a small rural village in South Lanarkshire, Scotland, situated within the Douglasdale area.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b54423081908d9fd985109e336a |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffdbd54848190ba79d873321f4fc9 |
completed | April 3, 2026, 5:49 p.m. |
Created at: March 30, 2026, 7:10 p.m.