Triple
T18696414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telepylus harbor |
E457125
|
entity |
| Predicate | hasFeatureInText |
P6841
|
FINISHED |
| Object | narrow entrance |
—
|
LITERAL 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: narrow entrance | Statement: [Telepylus harbor, hasFeatureInText, narrow entrance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFeatureInText Context triple: [Telepylus harbor, hasFeatureInText, narrow entrance]
-
A.
containsText
chosen
Indicates that one entity includes the specified text string within its content.
-
B.
hasText
Indicates that an entity is associated with or contains a specific piece of textual content.
-
C.
hasTextBy
Indicates that one entity (such as a document, work, or record) contains or is associated with text authored or written by another entity.
-
D.
hasFeature
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
E.
hasFeatureInPoem
Indicates that a poem includes or is characterized by a particular feature, element, or attribute.
- F. None of above.
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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e8bc408190ab41b3c21003c249 |
completed | April 19, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.