Triple
T1171179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XHTML |
E24914
|
entity |
| Predicate | alsoServedAs |
P24588
|
FINISHED |
| Object | text/html |
—
|
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: text/html | Statement: [XHTML, alsoServedAs, text/html]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoServedAs Context triple: [XHTML, alsoServedAs, text/html]
-
A.
servedAs
Indicates that one entity held and performed the role, position, or function associated with another entity for some period of time.
-
B.
alsoServesAs
Indicates that one entity has an additional role, function, or identity that it fulfills simultaneously with its primary one.
-
C.
commanderAlsoServesAs
Indicates that the person who holds a commander role simultaneously fulfills one or more additional official roles or positions.
-
D.
alsoHoldsOfficeOf
Indicates that an entity currently holding one office or position simultaneously holds another office or position as well.
-
E.
officeHoldersAlsoKnownAs
Indicates that an office holder is known by an alternative name, alias, or variant designation.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bceb3f188190b8b767380fe5986f |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5656948190b0b1d5446ad06005 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbd7ff1881908c943ecdfea59e81 |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:45 p.m.