Triple
T22375698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozilla developer tools |
E553145
|
entity |
| Predicate | hasDocumentation |
P4310
|
FINISHED |
| Object | MDN Web Docs |
—
|
NE NERFINISHED |
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: MDN Web Docs | Statement: [Mozilla developer tools, hasDocumentation, MDN Web Docs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MDN Web Docs Context triple: [Mozilla developer tools, hasDocumentation, MDN Web Docs]
-
A.
MDN Web Docs
chosen
MDN Web Docs is a comprehensive, community-driven documentation resource for web technologies such as HTML, CSS, and JavaScript, widely used by developers to learn and reference open web standards.
-
B.
MDN
MDN is the vehicle registration code assigned to Mardan, a city in the Khyber Pakhtunkhwa province of Pakistan.
-
C.
MDN
MDN is the commonly used abbreviation for Chile's Ministry of National Defense, the government body responsible for overseeing the country's armed forces and defense policy.
-
D.
MDN
MDN is the station code for Midnapore railway station on the Indian Railways network.
-
E.
MDN
MDN is the commonly used abbreviation for Portugal’s Ministry of National Defence, the government body responsible for the country’s defense policy and armed forces.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15807cb748190abd9adc08ca1ad4f |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:45 p.m.