Triple
T14023428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbott |
E337392
|
entity |
| Predicate | hasGivenNameUsageSince |
P70850
|
FINISHED |
| Object | medieval period |
—
|
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: medieval period | Statement: [Abbott, hasGivenNameUsageSince, medieval period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenNameUsageSince Context triple: [Abbott, hasGivenNameUsageSince, medieval period]
-
A.
hasGivenNameUsage
Indicates that an entity is associated with a particular way or context in which its given name is used.
-
B.
usesNameSince
Indicates that an entity has been using a particular name continuously starting from a specified point in time.
-
C.
nameUsedSince
chosen
Indicates that a particular name has been in use for an entity starting from a specified point in time.
-
D.
areUsedSince
Indicates that entities have been in use continuously starting from a specified point in time.
-
E.
titleUsedSince
Indicates that a particular title has been in use starting from a specified point in time.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3d87b88190b038d334f4965369 |
completed | April 14, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:19 p.m.