Triple
T9779841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Rico Highway 30 |
E237338
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
PR-30
PR-30 is a major east–west highway in Puerto Rico that connects the cities of Caguas and Humacao, serving as an important regional transportation corridor.
|
E819829
|
NE FINISHED |
How this triple was built (4 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: PR-30 | Statement: [Puerto Rico Highway 30, abbreviation, PR-30]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PR-30 Context triple: [Puerto Rico Highway 30, abbreviation, PR-30]
-
A.
PR 329
PR 329 is a provincial road in Manitoba, Canada that serves the community of Riverton and its surrounding area.
-
B.
PR-52
PR-52 is a major toll expressway in Puerto Rico that connects the capital city of San Juan with the southern city of Ponce.
-
C.
PR7
PR7 is a UK postcode district in the Chorley area of Lancashire, covering Euxton and surrounding localities.
-
D.
PRU
PRU is the stock ticker symbol for Prudential Financial, a major U.S.-based financial services and insurance company.
-
E.
PR4
PR4 is a UK postal district in the Preston area of Lancashire, covering Tarleton and several surrounding villages.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: PR-30 Triple: [Puerto Rico Highway 30, abbreviation, PR-30]
Generated description
PR-30 is a major east–west highway in Puerto Rico that connects the cities of Caguas and Humacao, serving as an important regional transportation corridor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PR-30 Target entity description: PR-30 is a major east–west highway in Puerto Rico that connects the cities of Caguas and Humacao, serving as an important regional transportation corridor.
-
A.
PR 329
PR 329 is a provincial road in Manitoba, Canada that serves the community of Riverton and its surrounding area.
-
B.
PR-52
PR-52 is a major toll expressway in Puerto Rico that connects the capital city of San Juan with the southern city of Ponce.
-
C.
PR7
PR7 is a UK postcode district in the Chorley area of Lancashire, covering Euxton and surrounding localities.
-
D.
PRU
PRU is the stock ticker symbol for Prudential Financial, a major U.S.-based financial services and insurance company.
-
E.
PR4
PR4 is a UK postal district in the Preston area of Lancashire, covering Tarleton and several surrounding villages.
- F. None of above. chosen
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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13663f081909b95563038eb6485 |
completed | April 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd28b0e48190984cf44d88f324d7 |
completed | April 5, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_69d1be259b388190bf60b97a6be12715 |
completed | April 5, 2026, 1:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bea090b48190ae903036cc79dded |
completed | April 5, 2026, 1:45 a.m. |
Created at: March 30, 2026, 8:27 p.m.