Triple
T16758140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Badme |
E407263
|
entity |
| Predicate | relatedPlace |
P3158
|
FINISHED |
| Object | Badme |
E1191797
|
NE FINISHED |
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: Badme | Statement: [Battle of Badme, relatedPlace, Badme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badme Context triple: [Battle of Badme, relatedPlace, Badme]
-
A.
Badme
chosen
Badme is a disputed border town between Ethiopia and Eritrea that became a focal point of their 1998–2000 war.
-
B.
Palhaça
Palhaça is a civil parish in the municipality of Oliveira do Bairro, located in Portugal’s Aveiro District.
-
C.
Manmadhudu
Manmadhudu is a popular 2002 Telugu romantic comedy film starring Nagarjuna Akkineni, known for its witty humor and charming portrayal of a commitment-phobic ad executive.
-
D.
Bajool
Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
-
E.
Manmad
Manmad is a major railway and commercial town in Maharashtra, India, known as an important junction connecting several key routes in the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abea156c8190a5ee6d0028471810 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aaf588bc8190adcc512eaa8d91e8 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:21 a.m.