Triple
T36298330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope County, Arkansas |
E893430
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object |
north-central Arkansas
North-central Arkansas is a region of the U.S. state of Arkansas characterized by its rolling Ozark foothills, rivers, and small to mid-sized communities.
|
E136414
|
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: north-central Arkansas | Statement: [Pope County, Arkansas, locatedInRegion, north-central Arkansas]
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: north-central Arkansas Triple: [Pope County, Arkansas, locatedInRegion, north-central Arkansas]
Generated description
North-central Arkansas is a region of the U.S. state of Arkansas characterized by its rolling Ozark foothills, rivers, and small to mid-sized communities.
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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba0121ac8190baf59381692a264a |
completed | May 3, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3c170e32788190b5c40cff1f3f1bdd |
completed | June 24, 2026, 5:42 p.m. |
| NEDg | Description generation | batch_6a3c4a30f0dc8190bf526c5acda79a30 |
completed | June 24, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3c6d4e3cf88190b92c4bd159955bb9 |
completed | June 24, 2026, 11:50 p.m. |
Created at: May 3, 2026, 4:09 p.m.