Triple
T16301877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma’an Governorate |
E395809
|
entity |
| Predicate | governorateNumber |
P122595
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Ma’an Governorate, governorateNumber, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorateNumber Context triple: [Ma’an Governorate, governorateNumber, 12]
-
A.
governorateOf
Indicates that one entity is the governorate (administrative region) to which another entity belongs or is located within.
-
B.
servedAsGovernorNumber
Indicates the ordinal position in which an individual served as governor (e.g., first, second, third).
-
C.
governorateType
Indicates the specific classification or category of a governorate within an administrative or governmental hierarchy.
-
D.
governorateOrDistrict
Indicates that one administrative region is a governorate or district that encompasses, governs, or is otherwise the primary subnational division for another area or locality.
-
E.
stateOfGovernorship
Indicates the relationship in which an individual holds or held the official position and authority of governor over a specific jurisdiction.
- F. None of above. chosen
Provenance (4 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e32da7081908d8bd320374a5731 |
completed | April 17, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:06 a.m.