Triple
T17154467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakfa trenches |
E416307
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Nakfa |
E416300
|
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: Nakfa | Statement: [Nakfa trenches, locatedIn, Nakfa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakfa Context triple: [Nakfa trenches, locatedIn, Nakfa]
-
A.
Nakfa
chosen
Nakfa is a historically significant town in Eritrea known for its role in the independence struggle and for lending its name to the country’s national currency.
-
B.
Rahanweyn
Rahanweyn is a major dialect (often considered a distinct variety) of the Somali language spoken primarily by the Rahanweyn clan families in southern Somalia.
-
C.
Maliya
Maliya is a town located in the Morbi district of the Indian state of Gujarat.
-
D.
Rahan
Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
-
E.
Monyash
Monyash is a small historic village in the Derbyshire Peak District of England, known for its limestone scenery and proximity to popular walking areas.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40a6b7c8190838e588c4fd81d95 |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148337a348190b8739eb3f553f1d9 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.