Triple
T33394769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Ruha |
E855142
|
entity |
| Predicate | modernNameIs |
P97846
|
FINISHED |
| Object | Şanlıurfa |
—
|
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: Şanlıurfa | Statement: [Al-Ruha, modernNameIs, Şanlıurfa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernNameIs Context triple: [Al-Ruha, modernNameIs, Şanlıurfa]
-
A.
modernNameOfficial
Indicates that an entity’s current, formally recognized name is the one specified.
-
B.
modernNameForm
chosen
Indicates that one entity is the contemporary or currently used name form corresponding to another entity’s name.
-
C.
hasModernName
Indicates that an entity is associated with its current or contemporary name, as opposed to an older or historical one.
-
D.
modernNameOfArea
Indicates that one area entity represents the current or modern name of another area entity.
-
E.
modernNameOfServedSettlement
Indicates that the object is the current, modern name of the settlement that is or was served by the subject (e.g., a facility, infrastructure, or service).
- 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: May 1, 2026, 1:35 a.m.