Triple
T6568274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem Municipal Airport |
E153967
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | City of Salem |
E114135
|
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: City of Salem | Statement: [Salem Municipal Airport, owner, City of Salem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Salem Context triple: [Salem Municipal Airport, owner, City of Salem]
-
A.
Salem
chosen
Salem is a mid-sized city in the Willamette Valley of the U.S. Pacific Northwest known for its government institutions and agricultural surroundings.
-
B.
Salem
Salem is a major city in the Indian state of Tamil Nadu, historically significant as an important administrative and commercial center under British rule.
-
C.
Salem
Salem is an ancient biblical city traditionally associated with Jerusalem and referenced in the Hebrew Scriptures as a place of divine presence and peace.
-
D.
Salem
Salem is the fictional Midwestern town that serves as the primary setting for the long-running American soap opera "Days of Our Lives."
-
E.
Salem
Salem is a supernatural horror television series that reimagines the infamous Salem witch trials with a dark, fictionalized narrative.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae54afd4819091ee65aca1de60a9 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7006679688190af29dee17dcbf65d |
completed | March 27, 2026, 10:10 p.m. |
Created at: March 27, 2026, 1:53 p.m.