Triple
T15423303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E87 highway |
E369439
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Constanța |
E40914
|
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: Constanța | Statement: [E87 highway, passesThrough, Constanța]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Constanța Context triple: [E87 highway, passesThrough, Constanța]
-
A.
Constanța
chosen
Constanța is a major Romanian coastal city and one of the largest and most important ports on the Black Sea.
-
B.
Călărași
Călărași is a city in southeastern Romania, located near the Danube River and serving as the capital of Călărași County.
-
C.
Craiova
Craiova is a major city in southwestern Romania, known as an important economic, cultural, and university center of the historical region of Oltenia.
-
D.
Galați
Galați is a major Romanian port city in eastern Romania, situated near the border with Moldova and known for its shipbuilding and steel industries.
-
E.
Tulcea
Tulcea is a city in southeastern Romania that serves as a key gateway to the Danube Delta and an important regional port and cultural center.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec032548190840b558dde6057c7 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a18c548190b8591776828c1793 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:20 a.m.