Triple
T17407856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leeward Coast |
E423266
|
entity |
| Predicate | includesCommunity |
P8617
|
FINISHED |
| Object | Maili |
—
|
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: Maili | Statement: [Leeward Coast, includesCommunity, Maili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maili Context triple: [Leeward Coast, includesCommunity, Maili]
-
A.
Maili
chosen
Maili is a coastal residential community on the leeward side of Oahu in Hawaii, known for its beaches and local neighborhood character.
-
B.
Mailie
Mailie is the doomed ewe featured as the central, dying character in Robert Burns’s poem "The Death and Dying Words of Poor Mailie."
-
C.
Posta
Posta is a popular Turkish daily newspaper known for its mass-market appeal and wide circulation.
-
D.
Yahoo Mail
Yahoo Mail is a free web-based email service known for its large storage capacity, integrated productivity features, and long-standing presence as one of the earliest major email providers on the internet.
-
E.
Mail
Mail is a Flask extension class that provides a simple interface for sending email messages from Flask web applications.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b08d5a881909e7a5b2ae2c60898 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.