Triple
T6756724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marowijne District |
E154478
|
entity |
| Predicate | borderSettlement |
P46520
|
FINISHED |
| Object | Galibi |
E619282
|
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: Galibi | Statement: [Marowijne District, borderSettlement, Galibi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galibi Context triple: [Marowijne District, borderSettlement, Galibi]
-
A.
Galibi
chosen
Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
-
B.
Vangunu
Vangunu is an Oceanic language of the Meso-Melanesian group spoken on Vangunu Island in the Solomon Islands.
-
C.
Mandeali
Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
-
D.
Nabaloi
Nabaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in the Benguet region of Luzon.
-
E.
Peren
Peren is a town and administrative center in the northeastern Indian state of Nagaland.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1f76c9c81908c213772a54f1352 |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723c3eb4881909c9c8d1258f461d9 |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:11 p.m.