Triple
T20839194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baglan Park |
E513044
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Baglan |
—
|
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: Baglan | Statement: [Baglan Park, locatedIn, Baglan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baglan Context triple: [Baglan Park, locatedIn, Baglan]
-
A.
Baglan
chosen
Baglan is a village and community in Neath Port Talbot, Wales, known for its residential areas and proximity to industrial and coastal zones.
-
B.
Baglan Bay
Baglan Bay is a coastal bay in South Wales known for its sandy shoreline and proximity to the town of Port Talbot.
-
C.
Banlam
Banlam is an alternative name for the Minnan language, a major Sinitic language variety spoken primarily in southern Fujian, Taiwan, and among overseas Chinese communities in Southeast Asia.
-
D.
Bayat
Bayat is a small town and district in western Turkey’s Afyonkarahisar Province, known for its rural character and traditional Anatolian culture.
-
E.
Blawan
Blawan is a British electronic music producer and DJ known for his dark, industrial-leaning techno and influential releases on labels like Hessle Audio and R&S Records.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34a60848190b33078172675f8d7 |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:42 p.m.