Triple
T30880970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Street (Key West) |
E786611
|
entity |
| Predicate | hasIntersectionWith |
P13379
|
FINISHED |
| Object |
Thomas Street (Key West)
Thomas Street in Key West is a local roadway in the island city’s historic area, intersecting with several neighborhood streets and providing access to nearby homes and attractions.
|
E1956324
|
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: Thomas Street (Key West) | Statement: [United Street (Key West), hasIntersectionWith, Thomas Street (Key West)]
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: Thomas Street (Key West) Triple: [United Street (Key West), hasIntersectionWith, Thomas Street (Key West)]
Generated description
Thomas Street in Key West is a local roadway in the island city’s historic area, intersecting with several neighborhood streets and providing access to nearby homes and attractions.
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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6920282f88190bf721e9204a63750 |
completed | May 3, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2a1e0d384481909680beb505ef2377 |
completed | June 11, 2026, 2:31 a.m. |
| NEDg | Description generation | batch_6a2a469f15ec81909b9e8071b4a72d88 |
completed | June 11, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2a47dad0588190bf7905543950c601 |
completed | June 11, 2026, 5:30 a.m. |
Created at: April 29, 2026, 8:48 p.m.