Triple
T38177356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Gough |
E1000251
|
entity |
| Predicate | hasLaterElevation |
P194173
|
FINISHED |
| Object | Viscount Gough |
—
|
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: Viscount Gough | Statement: [Baron Gough, hasLaterElevation, Viscount Gough]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaterElevation Context triple: [Baron Gough, hasLaterElevation, Viscount Gough]
-
A.
laterElevation
chosen
Indicates that one entity’s elevation occurs at a later point in time or sequence than another entity’s elevation.
-
B.
hasHigherElevationArea
Indicates that one area is situated at a greater elevation above sea level than another area.
-
C.
hasTopElevation
Indicates that an entity has a specified maximum or highest elevation value.
-
D.
hasElevationFeature
Indicates that one entity possesses or is characterized by a particular elevation-related feature or attribute, such as height, altitude, or vertical relief.
-
E.
hasTypicalElevationRelativeTo
Indicates the usual height or altitude of one entity in comparison to a referenced baseline or other entity.
- 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_69f76daaace48190a38cee37f8ce343f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a00119d821c8190874786391b27ef23 |
completed | May 10, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_6a001143fb6881909ac0ae8bfea04351 |
completed | May 10, 2026, 5:01 a.m. |
Created at: May 3, 2026, 4:29 p.m.