Triple
T31106940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outpost 61 on Isla de Mara |
E792818
|
entity |
| Predicate | monitorsTitan |
P171157
|
FINISHED |
| Object | Rodan |
—
|
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: Rodan | Statement: [Outpost 61 on Isla de Mara, monitorsTitan, Rodan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monitorsTitan Context triple: [Outpost 61 on Isla de Mara, monitorsTitan, Rodan]
-
A.
monitors
Indicates that one entity observes, tracks, or checks the state, behavior, or performance of another entity over time.
-
B.
typicalMonitor
Indicates that one entity commonly or characteristically monitors, observes, or oversees another entity in a usual or expected manner.
-
C.
monitorType
Indicates the type or category of monitor associated with or used by an entity.
-
D.
monitorsMedium
Indicates that one entity observes, tracks, or supervises the state or activity of a particular medium (such as a channel, platform, or communication medium).
-
E.
monitoringTarget
Indicates that one entity is being observed, tracked, or supervised by another as the focus of monitoring activities.
- 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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c6e0b888190a417ae712c42db0d |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f69c2127088190ae92c72461576d3b |
completed | May 3, 2026, 12:51 a.m. |
Created at: April 29, 2026, 9:03 p.m.