Triple
T37906861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland |
E945578
|
entity |
| Predicate | partlyLocatedInCounty |
P178608
|
FINISHED |
| Object |
Washington County
Washington County is a suburban county in northwestern Oregon that forms part of the Portland metropolitan area and includes major tech industry hubs in the region.
|
E314660
|
NE FINISHED |
How this triple was built (3 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: Washington County | Statement: [Portland, partlyLocatedInCounty, Washington County]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Washington County Triple: [Portland, partlyLocatedInCounty, Washington County]
Generated description
Washington County is a suburban county in northwestern Oregon that forms part of the Portland metropolitan area and includes major tech industry hubs in the region.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partlyLocatedInCounty Context triple: [Portland, partlyLocatedInCounty, Washington County]
-
A.
partiallyInCounty
chosen
Indicates that an entity’s spatial extent overlaps with, but is not entirely contained within, a given county.
-
B.
locatedInCountySeatOfCounty
Indicates that one entity is located in the county seat city or town of the specified county.
-
C.
partlyLocatedNear
Indicates that one entity is situated near another, but only a portion or subset of it lies within that nearby area.
-
D.
partlyLocatedOn
Indicates that one entity is situated such that only a portion of it lies on or within the spatial extent of another entity.
-
E.
locatedInCountyRegion
Indicates that one entity is geographically situated within the boundaries of a specific county or county-level region.
- F. None of above.
Provenance (6 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41ea7347308190bf4a1ef3c836bdda |
completed | June 29, 2026, 3:45 a.m. |
| NEDg | Description generation | batch_6a41eb116f288190bb2cc9876dea0577 |
completed | June 29, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41eb7dc3cc8190955444ba736583de |
completed | June 29, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.