Triple
T7395456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Tugual’s Chapel |
E170609
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Herm |
E29446
|
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: Herm | Statement: [St Tugual’s Chapel, locatedIn, Herm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herm Context triple: [St Tugual’s Chapel, locatedIn, Herm]
-
A.
Herm
chosen
Herm is a small, privately owned island in the English Channel known for its unspoiled beaches, car-free environment, and status as part of the Bailiwick of Guernsey.
-
B.
Herb
Herb is a masculine given name, often a short form of Herbert, used by various notable figures including artists and entertainers.
-
C.
Herma
Herma is a groundbreaking solo piano composition by Iannis Xenakis that applies mathematical and set-theoretical principles to create highly complex, avant-garde sound structures.
-
D.
Hermánek
Hermánek is a Czech surname most notably borne by actor Karel Hermánek.
-
E.
Herman
Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2279de4819081b8876d02f55388 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ed378308190b925941415db596d |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:09 p.m.