Triple
T279370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natal Indian Congress |
E5319
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Natal |
E15763
|
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: Natal | Statement: [Natal Indian Congress, location, Natal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natal Context triple: [Natal Indian Congress, location, Natal]
-
A.
Natal
chosen
Natal is a historical region in southeastern South Africa, centered on the port city of Durban and known for its colonial history and diverse cultural heritage.
-
B.
Pauletta
Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
-
C.
Fallon
Fallon is a small city in western Nevada known for its agricultural community, nearby Naval Air Station, and role as a regional service hub.
-
D.
Zoila
Zoila is the birth name of renowned Peruvian soprano and exotica singer Yma Sumac.
-
E.
Frances
Frances is a feminine given name of Latin origin, commonly used in English-speaking countries.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25def95c48190bb8ab2259f67b583 |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a394a2b1a081909bb78499544984da |
completed | March 1, 2026, 1:21 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.