Triple
T20146296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gadchiroli district forests |
E491310
|
entity |
| Predicate | hasTribalCommunity |
P17132
|
FINISHED |
| Object | Halba |
—
|
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: Halba | Statement: [Gadchiroli district forests, hasTribalCommunity, Halba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halba Context triple: [Gadchiroli district forests, hasTribalCommunity, Halba]
-
A.
Halba
Halba is a town in northern Lebanon that serves as the administrative and commercial center of the Akkar region.
-
B.
Halba
chosen
Halba are an indigenous Adivasi community of central India, particularly associated with the Bastar region, known for their distinct language, cultural traditions, and agrarian lifestyle.
-
C.
Halbe
Halbe is a small municipality in Brandenburg, Germany, historically known as the site of a major encirclement battle near the end of World War II.
-
D.
Hadern
Hadern is a borough in the southwest of Munich, Germany, known for its residential character and the large Waldfriedhof cemetery.
-
E.
Baar-Ebenhausen
Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm River.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679e43a48190b3a5da5710b07ff7 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.