Triple
T1607782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dumbarton Bridge |
E34544
|
entity |
| Predicate | baySegment |
P30237
|
FINISHED |
| Object | southern San Francisco Bay |
—
|
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: southern San Francisco Bay | Statement: [Dumbarton Bridge, baySegment, southern San Francisco Bay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baySegment Context triple: [Dumbarton Bridge, baySegment, southern San Francisco Bay]
-
A.
bay
Indicates that one entity howls or barks loudly, often repeatedly, typically in reaction to something such as prey, the moon, or a disturbance.
-
B.
operatesInSegment
Indicates that an entity conducts its activities or provides its services within a specified market or operational segment.
-
C.
ayahCount
Indicates the number of verses (ayahs) associated with a given surah or Quranic unit.
-
D.
basedInUntil
Indicates that an entity was based or located in a particular place up to a specified end time or date, after which this association ceased.
-
E.
broadcastRegion
Indicates the geographic area or market in which content is transmitted or made available for broadcast.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fa6926081908bc78d15c0be3185 |
completed | March 5, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69a907c35f848190a2428c52e81d013e |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a93fa5aa04819084d1154ef900303f |
completed | March 5, 2026, 8:32 a.m. |
Created at: March 4, 2026, 7:28 p.m.