Triple
T4012510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idumaean |
E90677
|
entity |
| Predicate | citizenshipStatusAfterIntegration |
P8495
|
FINISHED |
| Object | incorporated into Judean polity |
—
|
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: incorporated into Judean polity | Statement: [Idumaean, citizenshipStatusAfterIntegration, incorporated into Judean polity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipStatusAfterIntegration Context triple: [Idumaean, citizenshipStatusAfterIntegration, incorporated into Judean polity]
-
A.
laterCitizenship
chosen
Indicates that an entity acquired citizenship in a country or polity at a later point in time, after some earlier status or affiliation.
-
B.
immigrationStatusBeforeCitizenship
Indicates the legal immigration status an individual held prior to obtaining citizenship.
-
C.
citizenshipType
Indicates the specific legal category or status of an individual's citizenship in relation to a state or country.
-
D.
citizenshipDuration
Indicates the length of time an entity has held citizenship in a particular country or jurisdiction.
-
E.
namedAfterCountryOfCitizenship
Indicates that something is named after the country where a person holds citizenship.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaec08dc8190a341809059554f84 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fa6fec81909b1190ecbba61410 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.