Triple
T21892672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faryab Province |
E540592
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Maymana |
—
|
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: Maymana | Statement: [Faryab Province, hasCity, Maymana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maymana Context triple: [Faryab Province, hasCity, Maymana]
-
A.
Maymana
chosen
Maymana is a city in northwestern Afghanistan that serves as an important regional center for trade and agriculture.
-
B.
Lamanai
Lamanai is a major ancient Maya archaeological site in northern Belize, known for its impressive temple ruins and long period of continuous occupation.
-
C.
Mayaimi
Mayaimi refers to a Native American people who historically inhabited the region around Lake Okeechobee in present-day Florida.
-
D.
Naiche
Naiche was the last hereditary chief of the Chiricahua Apache and a prominent leader during the final phase of the Apache resistance against the United States.
-
E.
Mima
Mima is an alternative name for the Amdang language, a Nilo-Saharan language spoken primarily in parts of Chad and Sudan.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc46dd481908a119cfbe26564a3 |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:06 p.m.