Triple
T21099229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agordat |
E519849
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Keren |
—
|
NE NERFINISHED |
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: Keren | Statement: [Agordat, nearbyCity, Keren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keren Context triple: [Agordat, nearbyCity, Keren]
-
A.
Keren
chosen
Keren is a major town in Eritrea known as an important commercial and agricultural center in the Anseba region.
-
B.
Keren Ann
Keren Ann is a French-Israeli singer-songwriter, composer, and producer known for her atmospheric, melancholic pop and contributions to both her own albums and those of other artists.
-
C.
Keren Rosenberg
Keren Rosenberg is a film producer known for her work on the adaptation of Amos Oz’s autobiographical novel "A Tale of Love and Darkness."
-
D.
Sharona Katan
Sharona Katan is an Israeli-born visual artist and the wife of Radiohead guitarist and composer Jonny Greenwood.
-
E.
Saar Ganor
Saar Ganor is an Israeli archaeologist known for directing major excavations at key biblical-era sites, including the fortified city of Tel Qeiyafa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5b51608190aa286d89a9d54e9f |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.