Triple
T12580510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleppo Governorate |
E300322
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Manbij District |
E785724
|
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: Manbij District | Statement: [Aleppo Governorate, contains, Manbij District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manbij District Context triple: [Aleppo Governorate, contains, Manbij District]
-
A.
Manbij District
chosen
Manbij District is an administrative district in northern Syria that encompasses the city of Manbij and its surrounding rural areas.
-
B.
Gizab District
Gizab District is an administrative district located within Daykundi Province in central Afghanistan.
-
C.
Gizab District
Gizab District is an administrative district located within Uruzgan Province in central Afghanistan, known for its mountainous terrain and history of conflict.
-
D.
Zangilan District
Zangilan District is a region in southwestern Azerbaijan, located near the borders with Armenia and Iran and known for its strategic position in the South Caucasus.
-
E.
Maran District
Maran District is an administrative district in the state of Pahang, Malaysia, known for its rural landscape and agricultural activities.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbb2a1088190974e9736873466d1 |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 9, 2026, 5:01 p.m.