Triple
T3114672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quantico, Virginia |
E65032
|
entity |
| Predicate | nearbyWaterBody |
P1094
|
FINISHED |
| Object | Quantico Creek |
E188867
|
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: Quantico Creek | Statement: [Quantico, Virginia, nearbyWaterBody, Quantico Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quantico Creek Context triple: [Quantico, Virginia, nearbyWaterBody, Quantico Creek]
-
A.
Quantico Creek
chosen
Quantico Creek is a small tidal waterway in northern Virginia that flows into the Potomac River near the town of Quantico and the Marine Corps Base Quantico.
-
B.
Hannibal Creek
Hannibal Creek is a waterway after which the city of Hannibal, Missouri, is named.
-
C.
Nonconnah Creek
Nonconnah Creek is a stream in southwestern Tennessee that flows through the Memphis area and serves as a significant local waterway and drainage channel.
-
D.
Hunting Creek
Hunting Creek is a smaller stream in North Carolina that feeds into the Yadkin River as one of its tributaries.
-
E.
Linganore Creek
Linganore Creek is a stream in central Maryland that feeds into the Monocacy River and is known for its scenic watershed and recreational opportunities.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43dca688190ab041554220c5271 |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bff2a7e5b081909d3d64fc62c48eb3 |
completed | March 22, 2026, 1:46 p.m. |
Created at: March 8, 2026, 3:04 p.m.