Triple
T11200005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I. A. L. Diamond |
E265013
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Ungheni |
E284534
|
NE 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: Ungheni | Statement: [I. A. L. Diamond, placeOfBirth, Ungheni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ungheni Context triple: [I. A. L. Diamond, placeOfBirth, Ungheni]
-
A.
Ungheni
chosen
Ungheni is a town situated on the Prut River in western Moldova, known as an important border crossing and transport hub between Moldova and Romania.
-
B.
Gheorgheni
Gheorgheni is a town in Harghita County, Romania, known for its Székely Hungarian community and its location in the Eastern Carpathians.
-
C.
Cernavodă
Cernavodă is a town in southeastern Romania best known for its major Danube–Black Sea Canal port and the nearby Cernavodă Nuclear Power Plant.
-
D.
Cisnădie
Cisnădie is a small town in central Romania’s Sibiu County, known for its historic fortified church and traditional Transylvanian character.
-
E.
Săpânța
Săpânța is a village in northern Romania renowned for its colorful and humorous "Merry Cemetery," a unique open-air museum of painted wooden crosses and epitaphs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8c1e9f88190b2b42326aba9d778 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58ac418f08190b2936e8dbf9fb27d |
completed | April 20, 2026, 2:09 a.m. |
Created at: April 8, 2026, 9:29 p.m.