Triple
T19831709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W3 |
E476475
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object | W3(OH) |
—
|
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: W3(OH) | Statement: [W3, hasSubregion, W3(OH)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: W3(OH) Context triple: [W3, hasSubregion, W3(OH)]
-
A.
W3(OH)
chosen
W3(OH) is a compact, massive star-forming region and strong OH maser source within the W3 molecular cloud complex, notable for its intense radio and infrared emission.
-
B.
W3(H2O)
W3(H2O) is a water-coordinated tungsten cluster complex, likely featuring three tungsten centers bound to aqua ligands in an inorganic molecular structure.
-
C.
W3
W3 is a massive, active star-forming molecular cloud complex in the Perseus Arm of the Milky Way, known for hosting numerous young stellar objects and compact H II regions.
-
D.
W3
W3 is a London bus route that connects Muswell Hill with other parts of the city as part of the Transport for London network.
-
E.
W3
W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656ce68b48190aa25b29d0b6ea021 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.