Triple
T1601472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elam Ending |
E34401
|
entity |
| Predicate | typicalTargetIncrement |
P30635
|
FINISHED |
| Object | 8 points in many implementations |
—
|
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: 8 points in many implementations | Statement: [Elam Ending, typicalTargetIncrement, 8 points in many implementations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTargetIncrement Context triple: [Elam Ending, typicalTargetIncrement, 8 points in many implementations]
-
A.
firstIncreaseIn
Indicates the point or event at which a quantity or value begins to increase for the first time in a given sequence or process.
-
B.
numberOfTargets
Indicates the quantity of target entities associated with or affected by a given subject or event.
-
C.
typicalTimes
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
-
D.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
E.
integratedLuminosityTarget
Indicates the intended total accumulated luminosity to be achieved over a specified period or dataset in an experiment or observation.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a95aada3f881909053363c01de8b57 |
completed | March 5, 2026, 10:29 a.m. |
Created at: March 4, 2026, 7:28 p.m.