Triple
T8978831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flomaton, Alabama |
E214467
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
Flomaton
Flomaton is a small town in Escambia County, Alabama, known as a historic railroad junction near the Florida state line.
|
E769982
|
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: Flomaton | Statement: [Flomaton, Alabama, abbreviation, Flomaton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flomaton Context triple: [Flomaton, Alabama, abbreviation, Flomaton]
-
A.
Fluberg
Fluberg is a small village in Norway located near the shores of Randsfjorden, known for its rural landscape and lakeside setting.
-
B.
Flon
Flon is a central urban district in Lausanne, Switzerland, known for its transformed industrial warehouses, nightlife, shopping, and cultural venues.
-
C.
Flux
Flux is an interactive light-based art installation by American artist Jen Lewin, known for its immersive, technology-driven experience that responds to viewers’ movements.
-
D.
Flux
Flux is a GitOps-based continuous delivery tool for Kubernetes that automates deploying and reconciling application state from version-controlled configuration.
-
E.
Flux
Flux is a hard science fiction novel by Stephen Baxter that explores life in extreme environments on a subatomic scale within a neutron star.
- 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: Flomaton Triple: [Flomaton, Alabama, abbreviation, Flomaton]
Generated description
Flomaton is a small town in Escambia County, Alabama, known as a historic railroad junction near the Florida state line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flomaton Target entity description: Flomaton is a small town in Escambia County, Alabama, known as a historic railroad junction near the Florida state line.
-
A.
Fluberg
Fluberg is a small village in Norway located near the shores of Randsfjorden, known for its rural landscape and lakeside setting.
-
B.
Flon
Flon is a central urban district in Lausanne, Switzerland, known for its transformed industrial warehouses, nightlife, shopping, and cultural venues.
-
C.
Flux
Flux is an interactive light-based art installation by American artist Jen Lewin, known for its immersive, technology-driven experience that responds to viewers’ movements.
-
D.
Flux
Flux is a GitOps-based continuous delivery tool for Kubernetes that automates deploying and reconciling application state from version-controlled configuration.
-
E.
Flux
Flux is a hard science fiction novel by Stephen Baxter that explores life in extreme environments on a subatomic scale within a neutron star.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a4b3e88190b778a9b5589cab6d |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc9719f5c8190bc22c3c7375b54f7 |
completed | April 3, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69cfcb07ee80819098f9df620e0b82c2 |
completed | April 3, 2026, 2:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfcb6787b8819084ff84b7f1186e90 |
completed | April 3, 2026, 2:15 p.m. |
Created at: March 30, 2026, 7:03 p.m.