Triple
T8944748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tagin |
E213192
|
entity |
| Predicate | relatedEthnicGroups |
P1969
|
FINISHED |
| Object | Galo |
E209852
|
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: Galo | Statement: [Tagin, relatedEthnicGroups, Galo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galo Context triple: [Tagin, relatedEthnicGroups, Galo]
-
A.
Galo
chosen
The Galo are an indigenous tribal community of Arunachal Pradesh in Northeast India, known for their distinct language, traditional festivals, and agrarian lifestyle.
-
B.
Galali
Galali is a coastal neighborhood located on Muharraq Island in the Kingdom of Bahrain.
-
C.
Gallo
Gallo is a Romance language of eastern Brittany in France, distinct from both French and Breton and traditionally spoken by the region’s rural communities.
-
D.
Galich
Galich is a historic Russian town in Kostroma Oblast known for its medieval origins and its location on the shores of Lake Galichskoye.
-
E.
Gardo
Gardo is one of the three impoverished boys who uncover a dangerous secret while scavenging through a landfill in Andy Mulligan’s novel "Trash."
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66db998c8190999a7a686bbdda1f |
completed | April 1, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1f87db481909d40ed6fb0a4c8c9 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:59 p.m.