Triple
T35154001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Talking Horse and the Sad Girl and the Village Under the Sea |
E1015067
|
entity |
| Predicate | hasRegionOfPublication |
P115435
|
FINISHED |
| Object | London |
E1817
|
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: London | Statement: [The Talking Horse and the Sad Girl and the Village Under the Sea, hasRegionOfPublication, London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionOfPublication Context triple: [The Talking Horse and the Sad Girl and the Village Under the Sea, hasRegionOfPublication, London]
-
A.
countryOfPublication
Indicates the country in which a work was formally published or made publicly available.
-
B.
publishedInTerritory
Indicates that something (such as a work, product, or edition) has been published within a specific geographic or legal territory.
-
C.
continentOfPublication
Indicates the continent on which the publication was produced or released.
-
D.
hasPublicationPlace
chosen
Indicates the place or location where a publication was produced, issued, or made publicly available.
-
E.
stateOfPublication
Indicates the jurisdiction or territorial state in which a work is formally published or made publicly available.
- F. None of above.
Provenance (4 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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37fb0bfc948190a49236a479244cef |
completed | June 21, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.