Triple
T20354268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapan |
E496099
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Ghapan |
—
|
NE NERFINISHED |
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: Ghapan | Statement: [Kapan, formerName, Ghapan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghapan Context triple: [Kapan, formerName, Ghapan]
-
A.
Ghapan
chosen
Ghapan is a town in Armenia that serves as one of the international sister cities of Glendale, California.
-
B.
Gharaunda
Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
-
C.
Ghogha
Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
-
D.
Ghoghla
Ghoghla is a coastal village and beach area in the Diu district of the Indian union territory of Dadra and Nagar Haveli and Daman and Diu, known for its long sandy shoreline and relatively quiet, scenic setting.
-
E.
Gurh
Gurh is a legislative assembly constituency in the Indian state of Madhya Pradesh, represented within the Rewa Lok Sabha parliamentary seat.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67852ca9881908a5af18005639859 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.