Triple
T2801484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk, England |
E53163
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Eye |
E266376
|
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: Eye | Statement: [Suffolk, England, containsSettlement, Eye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eye Context triple: [Suffolk, England, containsSettlement, Eye]
-
A.
Eye
chosen
Eye is a small historic market town in Suffolk, England, known for its medieval architecture and rural surroundings.
-
B.
Ayin
Ayin is the sixteenth letter of the Hebrew alphabet, traditionally representing a voiced pharyngeal fricative and often functioning as a silent consonant in modern Hebrew.
-
C.
Doe Eyed
"Doe Eyed" is a song by American singer Rebecca Black, known for its polished pop production and introspective, emotionally charged lyrics.
-
D.
River Eye
The River Eye is a small river in eastern England that flows through rural Leicestershire before joining the River Witham.
-
E.
Ochi
Ochi is a mountain located on the Greek island of Euboea, known for its rugged terrain and scenic views over the Aegean Sea.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde1117148190b0c98f906f1c872e |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc66d1e488190a4b85decfb38097f |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:58 p.m.