Triple
T1691894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangli |
E36566
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Satara |
E58486
|
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: Satara | Statement: [Sangli, hasNearbyCity, Satara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satara Context triple: [Sangli, hasNearbyCity, Satara]
-
A.
Satara
chosen
Satara is a historic city in the Indian state of Maharashtra, known for its role as a key political and cultural center of the Maratha dynasty.
-
B.
Titisee-Neustadt
Titisee-Neustadt is a popular resort town in Germany’s Black Forest region, known for its scenic lake Titisee, winter sports facilities, and tourism.
-
C.
Cordele
Cordele is a small city in south-central Georgia known as the "Watermelon Capital of the World" and as a regional hub along major highway and rail routes.
-
D.
Aiken
Aiken is a variant spelling of the surname Aitken, which is of Scottish origin.
-
E.
Menifee
Menifee is a rapidly growing suburban city in Southern California known for its residential communities and proximity to major Inland Empire urban centers.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62b097488190907e3bce234e3c77 |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad7996a39481909152a6a799659c93 |
completed | March 8, 2026, 1:28 p.m. |
Created at: March 4, 2026, 7:29 p.m.