Triple
T4555032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The PHP Group |
E120459
|
entity |
| Predicate | hosts |
P186
|
FINISHED |
| Object | bugs.php.net |
E136520
|
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: bugs.php.net | Statement: [The PHP Group, hosts, bugs.php.net]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: bugs.php.net Context triple: [The PHP Group, hosts, bugs.php.net]
-
A.
Bugzilla
chosen
Bugzilla is an open-source, web-based bug tracking and issue management system widely used by software development projects to report, track, and resolve defects.
-
B.
Bug
The Volkswagen Beetle, commonly called the Bug, is an iconic compact car originally designed in the 1930s that became one of the best-selling and most recognizable automobiles in history.
-
C.
Bug
Bug is a 2006 psychological horror film directed by William Friedkin, adapted from Tracy Letts' play about paranoia and delusion consuming two isolated characters in a seedy motel room.
-
D.
Bug
Bug is a major river in Eastern Europe that flows through Ukraine, Belarus, and Poland before joining the Narew River.
-
E.
Bugs
Bugs is a blue-haired human resistance captain in "The Matrix Resurrections" who helps free Neo and serves as a key new protagonist in the film.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd5813af948190b10b02dadf6496bf |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc57d59f88190857cbda79caf3c38 |
completed | March 20, 2026, 10:09 p.m. |
Created at: March 20, 2026, 1:09 p.m.