Triple
T20805460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaquemines Parish |
E512141
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Phoenix
Phoenix is a small unincorporated community located in Plaquemines Parish in southeastern Louisiana, United States.
|
E1458894
|
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: Phoenix | Statement: [Plaquemines Parish, contains, Phoenix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phoenix Context triple: [Plaquemines Parish, contains, Phoenix]
-
A.
Phoenix
Phoenix is a high-performance web development framework for the Elixir programming language, designed for building scalable, real-time applications.
-
B.
Phoenix
Phoenix is the powerful mutant alter-ego of Jean Grey in the X-Men franchise, known for her immense telepathic and telekinetic abilities and central role in several major storylines.
-
C.
Phoenix
Phoenix is the callsign of Natasha Trace, a skilled U.S. Navy fighter pilot character in the film "Top Gun: Maverick."
-
D.
Phoenix
Phoenix is a wise and loyal elder warrior and mentor in Greek mythology, best known for guiding and advising Achilles during the Trojan War.
-
E.
Phoenix
Phoenix is a historic London theatre located on Drury Lane, known for staging a wide range of plays and musicals.
- 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: Phoenix Triple: [Plaquemines Parish, contains, Phoenix]
Generated description
Phoenix is a small unincorporated community located in Plaquemines Parish in southeastern Louisiana, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phoenix Target entity description: Phoenix is a small unincorporated community located in Plaquemines Parish in southeastern Louisiana, United States.
-
A.
Phoenix
Phoenix is a residential suburb within the greater Milnerton area of Cape Town, South Africa.
-
B.
Phoenix
Phoenix is a township near Durban in South Africa known for its large Indian community and its historical significance in the Indian diaspora in the country.
-
C.
Phoenix
Phoenix is a social and dining club at Harvard University known for its exclusive membership and long-standing traditions.
-
D.
Phoenix
Phoenix is a small southern-sky constellation named after the mythical firebird, visible primarily from the Southern Hemisphere.
-
E.
Phoenix
Phoenix is a Canadian major junior ice hockey team based in Sherbrooke, Quebec, competing in the Quebec Major Junior Hockey League (QMJHL).
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2cf1cbc819092d92625dfb107d0 |
completed | April 21, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092774eda48190a2d0039e2ce63648 |
completed | May 17, 2026, 2:27 a.m. |
| NEDg | Description generation | batch_6a0928a53e3c8190a8e636f5f1387f73 |
completed | May 17, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0929485ebc8190ab8bc316b3e802ca |
completed | May 17, 2026, 2:34 a.m. |
Created at: April 16, 2026, 12:40 p.m.