Triple
T28660757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarraconensis |
E725460
|
entity |
| Predicate | containedPeople |
P55958
|
FINISHED |
| Object | Celtiberians |
—
|
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: Celtiberians | Statement: [Tarraconensis, containedPeople, Celtiberians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containedPeople Context triple: [Tarraconensis, containedPeople, Celtiberians]
-
A.
peopleGroupWithin
chosen
Indicates that one group of people is geographically or organizationally contained within another group of people.
-
B.
includesPeopleOf
Indicates that a group, organization, or entity contains or encompasses certain people as its members or participants.
-
C.
peopleDocumented
Indicates that there is a record or documentation confirming the existence, identity, or details of the people involved.
-
D.
peopleGroupOf
Indicates that one entity is a group or collection composed of the people represented by the other entity.
-
E.
numberOfPersons
Indicates the total count of individual persons associated with or involved in a given entity, event, or context.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: April 28, 2026, 4:57 a.m.