Triple
T5816236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunca Bridge |
E128992
|
entity |
| Predicate | hasRegionImportance |
P12510
|
FINISHED |
| Object | important crossing over Tunca River in Edirne |
—
|
LITERAL 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: important crossing over Tunca River in Edirne | Statement: [Tunca Bridge, hasRegionImportance, important crossing over Tunca River in Edirne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionImportance Context triple: [Tunca Bridge, hasRegionImportance, important crossing over Tunca River in Edirne]
-
A.
hasRegionalSignificance
chosen
Indicates that something holds particular importance, influence, or relevance within a specific geographic region.
-
B.
peakImportance
Indicates that something reaches or represents the highest level of importance within a given context or timeframe.
-
C.
relativeImportanceInCountry
Indicates the comparative significance or priority of something within the context of a specific country.
-
D.
impactRegion
Indicates the geographic or spatial area that is affected or influenced by a particular event, action, or phenomenon.
-
E.
isImportantFor
Indicates that something holds significant value, relevance, or necessity in relation to something else.
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0333fdd7081908d829265caa2ac11 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.