Triple
T32097265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bridge of Khazad-dûm |
E819750
|
entity |
| Predicate | containsQuote |
P200863
|
FINISHED |
| Object | You cannot pass |
—
|
LITERAL 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: You cannot pass | Statement: [The Bridge of Khazad-dûm, containsQuote, You cannot pass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsQuote Context triple: [The Bridge of Khazad-dûm, containsQuote, You cannot pass]
-
A.
containsQuotationMarks
Indicates that the referenced text includes one or more quotation mark characters within it.
-
B.
hasQuotationSystem
Indicates that an entity uses or is associated with a particular system or convention for representing quotations.
-
C.
verseQuoted
Indicates that one text reproduces or cites a specific verse from another text.
-
D.
quoteType
Indicates the specific category or classification of a quotation, such as its style, purpose, or contextual role in discourse.
-
E.
quoteContext
Indicates that one statement or text segment is presented as a quotation within the context provided by another statement or surrounding material.
- F. None of above. chosen
Provenance (4 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ffb5c373948190a6606e8caa87a384 |
completed | May 9, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69ffb261da788190b41399df8ed895e8 |
completed | May 9, 2026, 10:17 p.m. |
| PDg | Predicate description generation | batch_69ffb5c2cef0819087a92a1a5ab694a8 |
completed | May 9, 2026, 10:31 p.m. |
Created at: May 1, 2026, 12:26 a.m.