Triple
T21839823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladurlad |
E539223
|
entity |
| Predicate | protects |
P1040
|
FINISHED |
| Object | Kailyal |
—
|
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: Kailyal | Statement: [Ladurlad, protects, Kailyal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kailyal Context triple: [Ladurlad, protects, Kailyal]
-
A.
Kailyal
chosen
Kailyal is a central heroine in Robert Southey’s epic poem "The Curse of Kehama," known for her steadfast virtue and endurance amid supernatural trials.
-
B.
Kalyar
Kalyar is a notable Sufi pilgrimage town in India associated with the Chishti Order and revered for its prominent dargah (shrine).
-
C.
Kheralu
Kheralu is a town in the Mehsana region of Gujarat, India, known for its local markets and role as a small regional center for surrounding rural areas.
-
D.
Kheya
Kheya is a collection of poems by Rabindranath Tagore that express devotional and spiritual themes later incorporated into his celebrated work "Song Offerings."
-
E.
Kalkhu
Kalkhu is the ancient Assyrian city better known today as Nimrud, a major archaeological site in northern Iraq that once served as a capital of the Neo-Assyrian Empire.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7aaa4f081909e869d2e81b07b91 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.