Triple
T13112305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Warwick, Rhode Island |
E311001
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object |
Phenix
Phenix is a residential neighborhood located within the town of West Warwick in the state of Rhode Island.
|
E1021530
|
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: Phenix | Statement: [West Warwick, Rhode Island, hasNeighborhood, Phenix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phenix Context triple: [West Warwick, Rhode Island, hasNeighborhood, Phenix]
-
A.
Phénix
Phénix is the French Air and Space Force’s designation for its Airbus A330 MRTT multirole tanker and transport aircraft.
-
B.
Mesa
Mesa is a pioneering systems programming language developed at Xerox PARC in the 1970s, notable for its strong typing, modularity, and influence on later languages and operating system design.
-
C.
Phoenice
Phoenice was an important ancient city in Epirus that served as a major political and economic center in the Hellenistic period.
-
D.
Sedona
Sedona is a scenic Arizona city famed for its striking red rock formations, vibrant arts community, and reputation as a spiritual and outdoor recreation destination.
-
E.
Phoenix
The Phoenix is a fast, flying Protoss combat unit from the StarCraft series, known for its anti-air capabilities and battlefield control.
- 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: Phenix Triple: [West Warwick, Rhode Island, hasNeighborhood, Phenix]
Generated description
Phenix is a residential neighborhood located within the town of West Warwick in the state of Rhode Island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phenix Target entity description: Phenix is a residential neighborhood located within the town of West Warwick in the state of Rhode Island.
-
A.
Phénix
Phénix is the French Air and Space Force’s designation for its Airbus A330 MRTT multirole tanker and transport aircraft.
-
B.
Mesa
Mesa is a pioneering systems programming language developed at Xerox PARC in the 1970s, notable for its strong typing, modularity, and influence on later languages and operating system design.
-
C.
Phoenice
Phoenice was an important ancient city in Epirus that served as a major political and economic center in the Hellenistic period.
-
D.
Sedona
Sedona is a scenic Arizona city famed for its striking red rock formations, vibrant arts community, and reputation as a spiritual and outdoor recreation destination.
-
E.
Phoenix
The Phoenix is a fast, flying Protoss combat unit from the StarCraft series, known for its anti-air capabilities and battlefield control.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27f5c4481909bc323c9d0c83dc9 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e32bf5508190b4dc58971f8f64d0 |
completed | May 3, 2026, 5:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e407dd988190b928b8931985a815 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:05 p.m.