Triple
T29456221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franco-Turkish War |
E747107
|
entity |
| Predicate | significantEvent |
P259
|
FINISHED |
| Object |
Battle of Marash
The Battle of Marash was a key 1920 clash between French and Turkish nationalist forces in southeastern Anatolia that marked a turning point in the Franco-Turkish War and contributed to the end of French occupation in the region.
|
E1876473
|
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: Battle of Marash | Statement: [Franco-Turkish War, significantEvent, Battle of Marash]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Battle of Marash Triple: [Franco-Turkish War, significantEvent, Battle of Marash]
Generated description
The Battle of Marash was a key 1920 clash between French and Turkish nationalist forces in southeastern Anatolia that marked a turning point in the Franco-Turkish War and contributed to the end of French occupation in the region.
Provenance (5 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b6cf8fc81909cd68959b362dde0 |
completed | May 2, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a26614a01a481909560640246cc1a44 |
completed | June 8, 2026, 6:29 a.m. |
| NEDg | Description generation | batch_6a26653c39d48190920f27c7d802efea |
completed | June 8, 2026, 6:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a266ac8b4048190a88be52de652cb5e |
completed | June 8, 2026, 7:10 a.m. |
Created at: April 28, 2026, 3:37 p.m.