Triple
T37171548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hănăseni |
E920922
|
entity |
| Predicate | districtSeatCountry |
P188503
|
FINISHED |
| Object | Moldova |
—
|
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: Moldova | Statement: [Hănăseni, districtSeatCountry, Moldova]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: districtSeatCountry Context triple: [Hănăseni, districtSeatCountry, Moldova]
-
A.
countryOfSeat
Indicates the country in which an organization’s official seat, headquarters, or principal office is located.
-
B.
hasSeatOfAdministration
Indicates that an administrative body or jurisdiction has a specific place or location that serves as its central seat of governance or administration.
-
C.
countryOrTerritory
Indicates that one entity is a country or territory associated with, or characterized by, another entity.
-
D.
legislativeArea
Indicates the geographic or jurisdictional area over which a legislative body or legislative activity has authority or relevance.
-
E.
countryPortionIn
Indicates that a specific part or region is located within the boundaries of a particular country.
- 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_69f76ea16f288190b445aa1604d996f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba789c1188190973a919bfe2871f3 |
completed | May 6, 2026, 8:41 p.m. |
Created at: May 3, 2026, 4:15 p.m.