Triple
T19176044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Place development |
E469438
|
entity |
| Predicate | regionTallestStatus |
P134742
|
FINISHED |
| Object | among the tallest buildings in the Washington metropolitan area |
—
|
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: among the tallest buildings in the Washington metropolitan area | Statement: [Central Place development, regionTallestStatus, among the tallest buildings in the Washington metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionTallestStatus Context triple: [Central Place development, regionTallestStatus, among the tallest buildings in the Washington metropolitan area]
-
A.
regionTallestUntil
Indicates that an entity is the tallest within a specified region up to, but not necessarily after, a given point in time.
-
B.
highestPointRegion
Indicates that one location is the highest point within a specified region.
-
C.
regionRankByHeight
Indicates the relative ordering of regions based on their height or elevation.
-
D.
stateHighestPointAccess
Indicates that a state’s highest geographical point can be accessed or reached by a specified means or under certain conditions.
-
E.
regionStatus
Indicates the current condition, classification, or operational state assigned to a specific geographic or administrative region.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f6181f0c8190b344072db0b7abbb |
completed | April 20, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:06 p.m.