Triple
T15879085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akkō |
E385026
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Acre |
E57659
|
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: Acre | Statement: [Akkō, alsoKnownAs, Acre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acre Context triple: [Akkō, alsoKnownAs, Acre]
-
A.
Acre
chosen
Acre is an ancient port city on the Mediterranean coast of present-day Israel, renowned for its well-preserved Crusader and Ottoman architecture and its long, strategic history.
-
B.
Acre (state)
Acre is a remote, heavily forested state in Brazil’s western Amazon region, known for its vast rainforest, rubber-tapping history, and rich Indigenous cultures.
-
C.
U.S. Acres
U.S. Acres is an American comic strip created by Jim Davis that humorously follows the lives of a group of barnyard animals.
-
D.
Arearea
Arearea is a vibrant 1892 oil painting by Paul Gauguin that depicts Tahitian women and a dog in a lush, symbolic landscape, exemplifying his post-Impressionist style and fascination with Polynesian culture.
-
E.
Acrefair
Acrefair is a village in Wrexham County Borough, Wales, historically linked to coal mining and situated near the town of Ruabon.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155ff96588190b8fca1c3bf4a39a2 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9529ac48190993d1af234faea3b |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.