Triple
T5792524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AELM |
E128427
|
entity |
| Predicate | hasSecondWord |
P26490
|
FINISHED |
| Object | Economic |
—
|
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: Economic | Statement: [AELM, hasSecondWord, Economic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondWord Context triple: [AELM, hasSecondWord, Economic]
-
A.
hasSecondWordOfExpandedForm
Indicates that the second word in the fully expanded (non-abbreviated) form of one entity is related to or associated with another entity.
-
B.
secondWord
chosen
Indicates that one entity is the second word in sequence immediately following the first entity in a text or utterance.
-
C.
hasTwoWordForm
Indicates that an entity is represented or expressed using a form consisting of exactly two words.
-
D.
isSecondOfName
Indicates that an entity is the second individual to bear a particular name within a given context or sequence.
-
E.
hasSecondarySubject
Indicates that an entity is associated with an additional, non-primary subject in a given context or relationship.
- F. None of above.
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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5870b88190bbfaac2782635128 |
completed | March 22, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:51 p.m.