Triple
T8756219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JSON5 |
E208077
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | TOML |
E427624
|
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: TOML | Statement: [JSON5, competesWith, TOML]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TOML Context triple: [JSON5, competesWith, TOML]
-
A.
TOML
chosen
TOML is a human-readable configuration file format designed for simplicity and unambiguous parsing, commonly used in modern software tooling and package managers.
-
B.
YAML
YAML is a human-readable data serialization language commonly used for configuration files and data exchange, emphasizing simplicity and ease of editing.
-
C.
TOM
TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
-
D.
TOM
TOM is the National Rail station code assigned to Tottenham Hale railway station in London, England.
-
E.
Tomlins
Tomlins is an English surname borne by various notable individuals, including the 19th-century legal writer Thomas Edlyne Tomlins.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dd95e9481909cc88e8d91601754 |
completed | March 31, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4338c0f88190a1e3f7ef164b6c6d |
completed | April 3, 2026, 4:34 a.m. |
Created at: March 30, 2026, 6:40 p.m.