Triple
T37216609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mecidiye |
E922754
|
entity |
| Predicate | presentCountyOfLocation |
P111504
|
FINISHED |
| Object | Constanța County |
—
|
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: Constanța County | Statement: [Mecidiye, presentCountyOfLocation, Constanța County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentCountyOfLocation Context triple: [Mecidiye, presentCountyOfLocation, Constanța County]
-
A.
homeCounty
Indicates that a specified county is the primary home or place of residence for a given person or entity.
-
B.
previousCounty
Indicates that one county was the immediately preceding county associated with an entity before the current or later county.
-
C.
hasCurrentCounty
Indicates that an entity is currently located within, administered by, or associated with a specific county.
-
D.
countyOfPlace
chosen
Indicates that a place is located within or administratively belongs to a specific county.
-
E.
cityCounty
Indicates that a city is located within, and administratively belongs to, a specific county.
- 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd864235b481908738dbb69556bc62 |
completed | May 8, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69fd8373b6bc819091c554f29ee17fec |
completed | May 8, 2026, 6:32 a.m. |
Created at: May 3, 2026, 4:15 p.m.